{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 卷积神经网络（Convolutional Neural Network, CNN）\n",
    "\n",
    "## 项目：实现一个狗品种识别算法App\n",
    "\n",
    "在这个notebook文件中，有些模板代码已经提供给你，但你还需要实现更多的功能来完成这个项目。除非有明确要求，你无须修改任何已给出的代码。以**'(练习)'**开始的标题表示接下来的代码部分中有你需要实现的功能。这些部分都配有详细的指导，需要实现的部分也会在注释中以'TODO'标出。请仔细阅读所有的提示。\n",
    "\n",
    "除了实现代码外，你还**需要**回答一些与项目及代码相关的问题。每个需要回答的问题都会以 **'问题 X'** 标记。请仔细阅读每个问题，并且在问题后的 **'回答'** 部分写出完整的答案。我们将根据 你对问题的回答 和 撰写代码实现的功能 来对你提交的项目进行评分。\n",
    "\n",
    ">**提示：**Code 和 Markdown 区域可通过 **Shift + Enter** 快捷键运行。此外，Markdown可以通过双击进入编辑模式。\n",
    "\n",
    "项目中显示为_选做_的部分可以帮助你的项目脱颖而出，而不是仅仅达到通过的最低要求。如果你决定追求更高的挑战，请在此 notebook 中完成_选做_部分的代码。\n",
    "\n",
    "---\n",
    "\n",
    "### 让我们开始吧\n",
    "在这个notebook中，你将迈出第一步，来开发可以作为移动端或 Web应用程序一部分的算法。在这个项目的最后，你的程序将能够把用户提供的任何一个图像作为输入。如果可以从图像中检测到一只狗，它会输出对狗品种的预测。如果图像中是一个人脸，它会预测一个与其最相似的狗的种类。下面这张图展示了完成项目后可能的输出结果。（……实际上我们希望每个学生的输出结果不相同！）\n",
    "\n",
    "![Sample Dog Output](images/sample_dog_output.png)\n",
    "\n",
    "在现实世界中，你需要拼凑一系列的模型来完成不同的任务；举个例子，用来预测狗种类的算法会与预测人类的算法不同。在做项目的过程中，你可能会遇到不少失败的预测，因为并不存在完美的算法和模型。你最终提交的不完美的解决方案也一定会给你带来一个有趣的学习经验！\n",
    "\n",
    "### 项目内容\n",
    "\n",
    "我们将这个notebook分为不同的步骤，你可以使用下面的链接来浏览此notebook。\n",
    "\n",
    "* [Step 0](#step0): 导入数据集\n",
    "* [Step 1](#step1): 检测人脸\n",
    "* [Step 2](#step2): 检测狗狗\n",
    "* [Step 3](#step3): 从头创建一个CNN来分类狗品种\n",
    "* [Step 4](#step4): 使用一个CNN来区分狗的品种(使用迁移学习)\n",
    "* [Step 5](#step5): 建立一个CNN来分类狗的品种（使用迁移学习）\n",
    "* [Step 6](#step6): 完成你的算法\n",
    "* [Step 7](#step7): 测试你的算法\n",
    "\n",
    "在该项目中包含了如下的问题：\n",
    "\n",
    "* [问题 1](#question1)\n",
    "* [问题 2](#question2)\n",
    "* [问题 3](#question3)\n",
    "* [问题 4](#question4)\n",
    "* [问题 5](#question5)\n",
    "* [问题 6](#question6)\n",
    "* [问题 7](#question7)\n",
    "* [问题 8](#question8)\n",
    "* [问题 9](#question9)\n",
    "* [问题 10](#question10)\n",
    "* [问题 11](#question11)\n",
    "\n",
    "\n",
    "---\n",
    "<a id='step0'></a>\n",
    "## 步骤 0: 导入数据集\n",
    "\n",
    "### 导入狗数据集\n",
    "在下方的代码单元（cell）中，我们导入了一个狗图像的数据集。我们使用 scikit-learn 库中的 `load_files` 函数来获取一些变量：\n",
    "- `train_files`, `valid_files`, `test_files` - 包含图像的文件路径的numpy数组\n",
    "- `train_targets`, `valid_targets`, `test_targets` - 包含独热编码分类标签的numpy数组\n",
    "- `dog_names` - 由字符串构成的与标签相对应的狗的种类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 133 total dog categories.\n",
      "There are 8351 total dog images.\n",
      "\n",
      "There are 6680 training dog images.\n",
      "There are 835 validation dog images.\n",
      "There are 836 test dog images.\n"
     ]
    }
   ],
   "source": [
    "from sklearn.datasets import load_files       \n",
    "from keras.utils import np_utils\n",
    "import numpy as np\n",
    "from glob import glob\n",
    "\n",
    "# 定义函数来加载train，test和validation数据集\n",
    "def load_dataset(path):\n",
    "    data = load_files(path)\n",
    "    dog_files = np.array(data['filenames'])\n",
    "    dog_targets = np_utils.to_categorical(np.array(data['target']), 133)\n",
    "    return dog_files, dog_targets\n",
    "\n",
    "# 加载train，test和validation数据集\n",
    "train_files, train_targets = load_dataset('dogImages/train')\n",
    "valid_files, valid_targets = load_dataset('dogImages/valid')\n",
    "test_files, test_targets = load_dataset('dogImages/test')\n",
    "\n",
    "# 加载狗品种列表\n",
    "dog_names = [item[20:-1] for item in sorted(glob(\"dogImages/train/*/\"))]\n",
    "\n",
    "# 打印数据统计描述\n",
    "print('There are %d total dog categories.' % len(dog_names))\n",
    "print('There are %s total dog images.\\n' % len(np.hstack([train_files, valid_files, test_files])))\n",
    "print('There are %d training dog images.' % len(train_files))\n",
    "print('There are %d validation dog images.' % len(valid_files))\n",
    "print('There are %d test dog images.'% len(test_files))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 导入人脸数据集\n",
    "\n",
    "在下方的代码单元中，我们导入人脸图像数据集，文件所在路径存储在名为 `human_files` 的 numpy 数组。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 13233 total human images.\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "random.seed(8675309)\n",
    "\n",
    "# 加载打乱后的人脸数据集的文件名\n",
    "human_files = np.array(glob(\"lfw/*/*\"))\n",
    "random.shuffle(human_files)\n",
    "\n",
    "# 打印数据集的数据量\n",
    "print('There are %d total human images.' % len(human_files))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<a id='step1'></a>\n",
    "## 步骤1：检测人脸\n",
    " \n",
    "我们将使用 OpenCV 中的 [Haar feature-based cascade classifiers](http://docs.opencv.org/trunk/d7/d8b/tutorial_py_face_detection.html) 来检测图像中的人脸。OpenCV 提供了很多预训练的人脸检测模型，它们以XML文件保存在 [github](https://github.com/opencv/opencv/tree/master/data/haarcascades)。我们已经下载了其中一个检测模型，并且把它存储在 `haarcascades` 的目录中。\n",
    "\n",
    "在如下代码单元中，我们将演示如何使用这个检测模型在样本图像中找到人脸。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of faces detected: 1\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2                \n",
    "import matplotlib.pyplot as plt                        \n",
    "%matplotlib inline                               \n",
    "\n",
    "# 提取预训练的人脸检测模型\n",
    "face_cascade = cv2.CascadeClassifier('haarcascades/haarcascade_frontalface_alt.xml')\n",
    "\n",
    "# 加载彩色（通道顺序为BGR）图像\n",
    "img = cv2.imread(human_files[3])\n",
    "\n",
    "# 将BGR图像进行灰度处理\n",
    "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "# 在图像中找出脸\n",
    "faces = face_cascade.detectMultiScale(gray)\n",
    "\n",
    "# 打印图像中检测到的脸的个数\n",
    "print('Number of faces detected:', len(faces))\n",
    "\n",
    "# 获取每一个所检测到的脸的识别框\n",
    "for (x,y,w,h) in faces:\n",
    "    # 在人脸图像中绘制出识别框\n",
    "    cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)\n",
    "    \n",
    "# 将BGR图像转变为RGB图像以打印\n",
    "cv_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "# 展示含有识别框的图像\n",
    "plt.imshow(cv_rgb)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在使用任何一个检测模型之前，将图像转换为灰度图是常用过程。`detectMultiScale` 函数使用储存在 `face_cascade` 中的的数据，对输入的灰度图像进行分类。\n",
    "\n",
    "在上方的代码中，`faces` 以 numpy 数组的形式，保存了识别到的面部信息。它其中每一行表示一个被检测到的脸，该数据包括如下四个信息：前两个元素  `x`、`y` 代表识别框左上角的 x 和 y 坐标（参照上图，注意 y 坐标的方向和我们默认的方向不同）；后两个元素代表识别框在 x 和 y 轴两个方向延伸的长度 `w` 和 `d`。 \n",
    "\n",
    "### 写一个人脸识别器\n",
    "\n",
    "我们可以将这个程序封装为一个函数。该函数的输入为人脸图像的**路径**，当图像中包含人脸时，该函数返回 `True`，反之返回 `False`。该函数定义如下所示。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 如果img_path路径表示的图像检测到了脸，返回\"True\" \n",
    "def face_detector(img_path):\n",
    "    img = cv2.imread(img_path)\n",
    "    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "    faces = face_cascade.detectMultiScale(gray)\n",
    "    return len(faces) > 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **【练习】** 评估人脸检测模型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "---\n",
    "\n",
    "<a id='question1'></a>\n",
    "### __问题 1:__ \n",
    "\n",
    "在下方的代码块中，使用 `face_detector` 函数，计算：\n",
    "\n",
    "- `human_files` 的前100张图像中，能够检测到**人脸**的图像占比多少？\n",
    "- `dog_files` 的前100张图像中，能够检测到**人脸**的图像占比多少？\n",
    "\n",
    "理想情况下，人图像中检测到人脸的概率应当为100%，而狗图像中检测到人脸的概率应该为0%。你会发现我们的算法并非完美，但结果仍然是可以接受的。我们从每个数据集中提取前100个图像的文件路径，并将它们存储在`human_files_short`和`dog_files_short`中。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "97 % human images can be detected\n",
      "12 % dog images can be detected\n"
     ]
    }
   ],
   "source": [
    "human_files_short = human_files[:100]\n",
    "dog_files_short = train_files[:100]\n",
    "## 请不要修改上方代码\n",
    "\n",
    "count_human_True = 0\n",
    "count_dog_True = 0\n",
    "for human_img in human_files_short:\n",
    "    if face_detector(human_img):\n",
    "        count_human_True += 1\n",
    "for dog_img in dog_files_short:\n",
    "    if face_detector(dog_img):\n",
    "        count_dog_True += 1\n",
    "print(\"%s %% human images can be detected\" % count_human_True)\n",
    "print(\"%s %% dog images can be detected\" % count_dog_True)\n",
    "## TODO: 基于human_files_short和dog_files_short\n",
    "## 中的图像测试face_detector的表现"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<a id='question2'></a>\n",
    "\n",
    "### __问题 2:__ \n",
    "\n",
    "就算法而言，该算法成功与否的关键在于，用户能否提供含有清晰面部特征的人脸图像。\n",
    "那么你认为，这样的要求在实际使用中对用户合理吗？如果你觉得不合理，你能否想到一个方法，即使图像中并没有清晰的面部特征，也能够检测到人脸？\n",
    "\n",
    "__回答:__\n",
    "需求用户提供清晰面部特征的人脸图像并不合理，简单举例夜晚安防摄像头拍摄的人脸图像由于环境原因照片基本难以保证人脸具有清晰的面部特征。OpenCV采用的是Haar+AdaBoosting实现快速人脸识别，首先Haar是很弱的特征，需要很多特征组合在一起才能构成强分类器，基于深度学习的目标检测方案目前发展迅速，使用卷积网络进行人脸识别应该可以在面部特征不够清晰的情况下，获得更高的准确率。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<a id='Selection1'></a>\n",
    "### 选做：\n",
    "\n",
    "我们建议在你的算法中使用opencv的人脸检测模型去检测人类图像，不过你可以自由地探索其他的方法，尤其是尝试使用深度学习来解决它:)。请用下方的代码单元来设计和测试你的面部监测算法。如果你决定完成这个_选做_任务，你需要报告算法在每一个数据集上的表现。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## (选做) TODO: 报告另一个面部检测算法在LFW数据集上的表现\n",
    "### 你可以随意使用所需的代码单元数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<a id='step2'></a>\n",
    "\n",
    "## 步骤 2: 检测狗狗\n",
    "\n",
    "在这个部分中，我们使用预训练的 [ResNet-50](http://ethereon.github.io/netscope/#/gist/db945b393d40bfa26006) 模型去检测图像中的狗。下方的第一行代码就是下载了 ResNet-50 模型的网络结构参数，以及基于 [ImageNet](http://www.image-net.org/) 数据集的预训练权重。\n",
    "\n",
    "ImageNet 这目前一个非常流行的数据集，常被用来测试图像分类等计算机视觉任务相关的算法。它包含超过一千万个 URL，每一个都链接到 [1000 categories](https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a) 中所对应的一个物体的图像。任给输入一个图像，该 ResNet-50 模型会返回一个对图像中物体的预测结果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.applications.resnet50 import ResNet50\n",
    "\n",
    "# 定义ResNet50模型\n",
    "ResNet50_model = ResNet50(weights='imagenet')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据预处理\n",
    "\n",
    "- 在使用 TensorFlow 作为后端的时候，在 Keras 中，CNN 的输入是一个4维数组（也被称作4维张量），它的各维度尺寸为 `(nb_samples, rows, columns, channels)`。其中 `nb_samples` 表示图像（或者样本）的总数，`rows`, `columns`, 和 `channels` 分别表示图像的行数、列数和通道数。\n",
    "\n",
    "\n",
    "- 下方的 `path_to_tensor` 函数实现如下将彩色图像的字符串型的文件路径作为输入，返回一个4维张量，作为 Keras CNN 输入。因为我们的输入图像是彩色图像，因此它们具有三个通道（ `channels` 为 `3`）。\n",
    "    1. 该函数首先读取一张图像，然后将其缩放为 224×224 的图像。\n",
    "    2. 随后，该图像被调整为具有4个维度的张量。\n",
    "    3. 对于任一输入图像，最后返回的张量的维度是：`(1, 224, 224, 3)`。\n",
    "\n",
    "\n",
    "- `paths_to_tensor` 函数将图像路径的字符串组成的 numpy 数组作为输入，并返回一个4维张量，各维度尺寸为 `(nb_samples, 224, 224, 3)`。 在这里，`nb_samples`是提供的图像路径的数据中的样本数量或图像数量。你也可以将 `nb_samples` 理解为数据集中3维张量的个数（每个3维张量表示一个不同的图像。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.preprocessing import image                  \n",
    "from tqdm import tqdm\n",
    "\n",
    "def path_to_tensor(img_path):\n",
    "    # 用PIL加载RGB图像为PIL.Image.Image类型\n",
    "    img = image.load_img(img_path, target_size=(224, 224))\n",
    "    # 将PIL.Image.Image类型转化为格式为(224, 224, 3)的3维张量\n",
    "    x = image.img_to_array(img)\n",
    "    # 将3维张量转化为格式为(1, 224, 224, 3)的4维张量并返回\n",
    "    return np.expand_dims(x, axis=0)\n",
    "\n",
    "def paths_to_tensor(img_paths):\n",
    "    list_of_tensors = [path_to_tensor(img_path) for img_path in tqdm(img_paths)]\n",
    "    return np.vstack(list_of_tensors)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基于 ResNet-50 架构进行预测\n",
    "\n",
    "对于通过上述步骤得到的四维张量，在把它们输入到 ResNet-50 网络、或 Keras 中其他类似的预训练模型之前，还需要进行一些额外的处理：\n",
    "1. 首先，这些图像的通道顺序为 RGB，我们需要重排他们的通道顺序为 BGR。\n",
    "2. 其次，预训练模型的输入都进行了额外的归一化过程。因此我们在这里也要对这些张量进行归一化，即对所有图像所有像素都减去像素均值 `[103.939, 116.779, 123.68]`（以 RGB 模式表示，根据所有的 ImageNet 图像算出）。\n",
    "\n",
    "导入的 `preprocess_input` 函数实现了这些功能。如果你对此很感兴趣，可以在 [这里](https://github.com/fchollet/keras/blob/master/keras/applications/imagenet_utils.py) 查看 `preprocess_input`的代码。\n",
    "\n",
    "\n",
    "在实现了图像处理的部分之后，我们就可以使用模型来进行预测。这一步通过 `predict` 方法来实现，它返回一个向量，向量的第 i 个元素表示该图像属于第 i 个 ImageNet 类别的概率。这通过如下的 `ResNet50_predict_labels` 函数实现。\n",
    "\n",
    "通过对预测出的向量取用 argmax 函数（找到有最大概率值的下标序号），我们可以得到一个整数，即模型预测到的物体的类别。进而根据这个 [清单](https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a)，我们能够知道这具体是哪个品种的狗狗。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.applications.resnet50 import preprocess_input, decode_predictions\n",
    "def ResNet50_predict_labels(img_path):\n",
    "    # 返回img_path路径的图像的预测向量\n",
    "    img = preprocess_input(path_to_tensor(img_path))\n",
    "    return np.argmax(ResNet50_model.predict(img))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 完成狗检测模型\n",
    "\n",
    "\n",
    "在研究该 [清单](https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a) 的时候，你会注意到，狗类别对应的序号为151-268。因此，在检查预训练模型判断图像是否包含狗的时候，我们只需要检查如上的 `ResNet50_predict_labels` 函数是否返回一个介于151和268之间（包含区间端点）的值。\n",
    "\n",
    "我们通过这些想法来完成下方的 `dog_detector` 函数，如果从图像中检测到狗就返回 `True`，否则返回 `False`。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dog_detector(img_path):\n",
    "    prediction = ResNet50_predict_labels(img_path)\n",
    "    return ((prediction <= 268) & (prediction >= 151)) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 【作业】评估狗狗检测模型\n",
    "\n",
    "---\n",
    "\n",
    "<a id='question3'></a>\n",
    "### __问题 3:__ \n",
    "\n",
    "在下方的代码块中，使用 `dog_detector` 函数，计算：\n",
    "\n",
    "- `human_files_short`中图像检测到狗狗的百分比？\n",
    "- `dog_files_short`中图像检测到狗狗的百分比？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 % human images are detected as dog\n",
      "100 % dog images are detected as dog\n"
     ]
    }
   ],
   "source": [
    "### TODO: 测试dog_detector函数在human_files_short和dog_files_short的表现\n",
    "count_dog_humanfile = 0\n",
    "count_dog_dogfile = 0\n",
    "for human_img in human_files_short:\n",
    "    if dog_detector(human_img):\n",
    "        count_dog_humanfile += 1\n",
    "for dog_img in dog_files_short:\n",
    "    if dog_detector(dog_img):\n",
    "        count_dog_dogfile += 1\n",
    "print(\"%s %% human images are detected as dog\" % count_dog_humanfile)\n",
    "print(\"%s %% dog images are detected as dog\" % count_dog_dogfile)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<a id='step3'></a>\n",
    "\n",
    "## 步骤 3: 从头开始创建一个CNN来分类狗品种\n",
    "\n",
    "\n",
    "现在我们已经实现了一个函数，能够在图像中识别人类及狗狗。但我们需要更进一步的方法，来对狗的类别进行识别。在这一步中，你需要实现一个卷积神经网络来对狗的品种进行分类。你需要__从头实现__你的卷积神经网络（在这一阶段，你还不能使用迁移学习），并且你需要达到超过1%的测试集准确率。在本项目的步骤五种，你还有机会使用迁移学习来实现一个准确率大大提高的模型。\n",
    "\n",
    "在添加卷积层的时候，注意不要加上太多的（可训练的）层。更多的参数意味着更长的训练时间，也就是说你更可能需要一个 GPU 来加速训练过程。万幸的是，Keras 提供了能够轻松预测每次迭代（epoch）花费时间所需的函数。你可以据此推断你算法所需的训练时间。\n",
    "\n",
    "值得注意的是，对狗的图像进行分类是一项极具挑战性的任务。因为即便是一个正常人，也很难区分布列塔尼犬和威尔士史宾格犬。\n",
    "\n",
    "\n",
    "布列塔尼犬（Brittany） | 威尔士史宾格犬（Welsh Springer Spaniel）\n",
    "- | - \n",
    "<img src=\"images/Brittany_02625.jpg\" width=\"100\"> | <img src=\"images/Welsh_springer_spaniel_08203.jpg\" width=\"200\">\n",
    "\n",
    "不难发现其他的狗品种会有很小的类间差别（比如金毛寻回犬和美国水猎犬）。\n",
    "\n",
    "\n",
    "金毛寻回犬（Curly-Coated Retriever） | 美国水猎犬（American Water Spaniel）\n",
    "- | -\n",
    "<img src=\"images/Curly-coated_retriever_03896.jpg\" width=\"200\"> | <img src=\"images/American_water_spaniel_00648.jpg\" width=\"200\">\n",
    "\n",
    "同样，拉布拉多犬（labradors）有黄色、棕色和黑色这三种。那么你设计的基于视觉的算法将不得不克服这种较高的类间差别，以达到能够将这些不同颜色的同类狗分到同一个品种中。\n",
    "\n",
    "黄色拉布拉多犬（Yellow Labrador） | 棕色拉布拉多犬（Chocolate Labrador） | 黑色拉布拉多犬（Black Labrador）\n",
    "- | -\n",
    "<img src=\"images/Labrador_retriever_06457.jpg\" width=\"150\"> | <img src=\"images/Labrador_retriever_06455.jpg\" width=\"240\"> | <img src=\"images/Labrador_retriever_06449.jpg\" width=\"220\">\n",
    "\n",
    "我们也提到了随机分类将得到一个非常低的结果：不考虑品种略有失衡的影响，随机猜测到正确品种的概率是1/133，相对应的准确率是低于1%的。\n",
    "\n",
    "请记住，在深度学习领域，实践远远高于理论。大量尝试不同的框架吧，相信你的直觉！当然，玩得开心！\n",
    "\n",
    "\n",
    "### 数据预处理\n",
    "\n",
    "\n",
    "通过对每张图像的像素值除以255，我们对图像实现了归一化处理。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 6680/6680 [00:56<00:00, 118.89it/s]\n",
      "100%|██████████| 835/835 [00:06<00:00, 130.25it/s]\n",
      "100%|██████████| 836/836 [00:06<00:00, 131.94it/s]\n"
     ]
    }
   ],
   "source": [
    "from PIL import ImageFile                            \n",
    "ImageFile.LOAD_TRUNCATED_IMAGES = True                 \n",
    "\n",
    "# Keras中的数据预处理过程\n",
    "train_tensors = paths_to_tensor(train_files).astype('float32')/255\n",
    "valid_tensors = paths_to_tensor(valid_files).astype('float32')/255\n",
    "test_tensors = paths_to_tensor(test_files).astype('float32')/255"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 【练习】模型架构\n",
    "\n",
    "\n",
    "创建一个卷积神经网络来对狗品种进行分类。在你代码块的最后，执行 `model.summary()` 来输出你模型的总结信息。\n",
    "    \n",
    "我们已经帮你导入了一些所需的 Python 库，如有需要你可以自行导入。如果你在过程中遇到了困难，如下是给你的一点小提示——该模型能够在5个 epoch 内取得超过1%的测试准确率，并且能在CPU上很快地训练。\n",
    "\n",
    "![Sample CNN](images/sample_cnn.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<a id='question4'></a>  \n",
    "\n",
    "### __问题 4:__ \n",
    "\n",
    "在下方的代码块中尝试使用 Keras 搭建卷积网络的架构，并回答相关的问题。\n",
    "\n",
    "1. 你可以尝试自己搭建一个卷积网络的模型，那么你需要回答你搭建卷积网络的具体步骤（用了哪些层）以及为什么这样搭建。\n",
    "2. 你也可以根据上图提示的步骤搭建卷积网络，那么请说明为何如上的架构能够在该问题上取得很好的表现。\n",
    "\n",
    "__回答:__ \n",
    "\n",
    "1. 结构共使用3层卷积层用于初步进行图片特征提取，使用# * 3的卷积核进行提取，由于“relu”函数具有梯度下降快且降低梯度小时，计算相对“sigmoid”函数更加简单等特点，本次使用其作为卷积层的激活函数；\n",
    "\n",
    "2. 由于卷积网络或产生大量的参数，为了减少训练参数的数量在每层卷积层后，增加一层池化层用于降低卷积层特征维度，提取最有用的信息，降低噪声影响及过拟合的状况，本次采用了最大池化；\n",
    "\n",
    "3. 同时为了降低过拟合的状况，在池化层之后增加了Dropout()层；\n",
    "\n",
    "4. 使用Flatten层将三维数据压成一维数据，用于卷积层和全连接层之间的连接；\n",
    "\n",
    "5. 最终建立一层全连接层用于输出133种狗类的输出，并采用了适合多分类问题的\"softmax\"函数作为激活函数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_1 (Conv2D)            (None, 224, 224, 16)      208       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 112, 112, 16)      0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 112, 112, 16)      0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 112, 112, 32)      2080      \n",
      "_________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2 (None, 56, 56, 32)        0         \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 56, 56, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 56, 56, 64)        8256      \n",
      "_________________________________________________________________\n",
      "max_pooling2d_4 (MaxPooling2 (None, 28, 28, 64)        0         \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 28, 28, 64)        0         \n",
      "_________________________________________________________________\n",
      "flatten_2 (Flatten)          (None, 50176)             0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 133)               6673541   \n",
      "=================================================================\n",
      "Total params: 6,684,085\n",
      "Trainable params: 6,684,085\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D\n",
    "from keras.layers import Dropout, Flatten, Dense\n",
    "from keras.models import Sequential\n",
    "\n",
    "model = Sequential()\n",
    "\n",
    "### TODO: 定义你的网络架构\n",
    "model.add(Conv2D(filters=16, kernel_size=2, padding='same', activation='relu',input_shape=(224, 224, 3)))\n",
    "model.add(MaxPooling2D(pool_size=2))\n",
    "model.add(Dropout(0.3))\n",
    "model.add(Conv2D(filters=32, kernel_size=2, padding='same', activation='relu'))\n",
    "model.add(MaxPooling2D(pool_size=2))\n",
    "model.add(Dropout(0.3))\n",
    "model.add(Conv2D(filters=64, kernel_size=2, padding='same', activation='relu'))\n",
    "model.add(MaxPooling2D(pool_size=2))\n",
    "model.add(Dropout(0.3))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(133,activation='softmax'))\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 编译模型\n",
    "model.compile(optimizer='rmsprop', loss='categorical_crossentropy', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 【练习】训练模型\n",
    "\n",
    "\n",
    "---\n",
    "\n",
    "<a id='question5'></a>  \n",
    "\n",
    "### __问题 5:__ \n",
    "\n",
    "在下方代码单元训练模型。使用模型检查点（model checkpointing）来储存具有最低验证集 loss 的模型。\n",
    "\n",
    "可选题：你也可以对训练集进行 [数据增强](https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html)，来优化模型的表现。\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 6680 samples, validate on 835 samples\n",
      "Epoch 1/10\n",
      "6680/6680 [==============================] - 248s 37ms/step - loss: 4.9599 - acc: 0.0177 - val_loss: 4.7414 - val_acc: 0.0263\n",
      "\n",
      "Epoch 00001: val_loss improved from inf to 4.74139, saving model to saved_models/weights.best.from_scratch.hdf5\n",
      "Epoch 2/10\n",
      "6680/6680 [==============================] - 245s 37ms/step - loss: 4.5429 - acc: 0.0485 - val_loss: 4.5357 - val_acc: 0.0611\n",
      "\n",
      "Epoch 00002: val_loss improved from 4.74139 to 4.53570, saving model to saved_models/weights.best.from_scratch.hdf5\n",
      "Epoch 3/10\n",
      "6680/6680 [==============================] - 246s 37ms/step - loss: 4.2368 - acc: 0.0967 - val_loss: 4.4606 - val_acc: 0.0551\n",
      "\n",
      "Epoch 00003: val_loss improved from 4.53570 to 4.46058, saving model to saved_models/weights.best.from_scratch.hdf5\n",
      "Epoch 4/10\n",
      "6680/6680 [==============================] - 247s 37ms/step - loss: 3.8653 - acc: 0.1506 - val_loss: 4.3975 - val_acc: 0.0707\n",
      "\n",
      "Epoch 00004: val_loss improved from 4.46058 to 4.39751, saving model to saved_models/weights.best.from_scratch.hdf5\n",
      "Epoch 5/10\n",
      "6680/6680 [==============================] - 245s 37ms/step - loss: 3.4293 - acc: 0.2322 - val_loss: 4.4291 - val_acc: 0.0743\n",
      "\n",
      "Epoch 00005: val_loss did not improve from 4.39751\n",
      "Epoch 6/10\n",
      "6680/6680 [==============================] - 245s 37ms/step - loss: 2.9241 - acc: 0.3308 - val_loss: 4.6802 - val_acc: 0.0647\n",
      "\n",
      "Epoch 00006: val_loss did not improve from 4.39751\n",
      "Epoch 7/10\n",
      "6680/6680 [==============================] - 244s 36ms/step - loss: 2.4143 - acc: 0.4392 - val_loss: 4.9871 - val_acc: 0.0563\n",
      "\n",
      "Epoch 00007: val_loss did not improve from 4.39751\n",
      "Epoch 8/10\n",
      "6680/6680 [==============================] - 245s 37ms/step - loss: 2.0081 - acc: 0.5228 - val_loss: 5.2807 - val_acc: 0.0563\n",
      "\n",
      "Epoch 00008: val_loss did not improve from 4.39751\n",
      "Epoch 9/10\n",
      "6680/6680 [==============================] - 246s 37ms/step - loss: 1.6927 - acc: 0.5882 - val_loss: 5.4383 - val_acc: 0.0539\n",
      "\n",
      "Epoch 00009: val_loss did not improve from 4.39751\n",
      "Epoch 10/10\n",
      "6680/6680 [==============================] - 244s 37ms/step - loss: 1.4157 - acc: 0.6521 - val_loss: 5.9534 - val_acc: 0.0623\n",
      "\n",
      "Epoch 00010: val_loss did not improve from 4.39751\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f2912ce1550>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from keras.callbacks import ModelCheckpoint  \n",
    "\n",
    "### TODO: 设置训练模型的epochs的数量\n",
    "\n",
    "epochs = 10\n",
    "\n",
    "### 不要修改下方代码\n",
    "\n",
    "checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.from_scratch.hdf5', \n",
    "                               verbose=1, save_best_only=True)\n",
    "\n",
    "model.fit(train_tensors, train_targets, \n",
    "          validation_data=(valid_tensors, valid_targets),\n",
    "          epochs=epochs, batch_size=20, callbacks=[checkpointer], verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 加载具有最好验证loss的模型\n",
    "\n",
    "model.load_weights('saved_models/weights.best.from_scratch.hdf5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 测试模型\n",
    "\n",
    "在狗图像的测试数据集上试用你的模型。确保测试准确率大于1%。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 7.2967%\n"
     ]
    }
   ],
   "source": [
    "# 获取测试数据集中每一个图像所预测的狗品种的index\n",
    "dog_breed_predictions = [np.argmax(model.predict(np.expand_dims(tensor, axis=0))) for tensor in test_tensors]\n",
    "\n",
    "# 报告测试准确率\n",
    "test_accuracy = 100*np.sum(np.array(dog_breed_predictions)==np.argmax(test_targets, axis=1))/len(dog_breed_predictions)\n",
    "print('Test accuracy: %.4f%%' % test_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<a id='step4'></a>\n",
    "## 步骤 4: 使用一个CNN来区分狗的品种\n",
    "\n",
    "\n",
    "使用 迁移学习（Transfer Learning）的方法，能帮助我们在不损失准确率的情况下大大减少训练时间。在以下步骤中，你可以尝试使用迁移学习来训练你自己的CNN。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 得到从图像中提取的特征向量（Bottleneck Features）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "bottleneck_features = np.load('bottleneck_features/DogVGG16Data.npz')\n",
    "train_VGG16 = bottleneck_features['train']\n",
    "valid_VGG16 = bottleneck_features['valid']\n",
    "test_VGG16 = bottleneck_features['test']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 模型架构\n",
    "\n",
    "该模型使用预训练的 VGG-16 模型作为固定的图像特征提取器，其中 VGG-16 最后一层卷积层的输出被直接输入到我们的模型。我们只需要添加一个全局平均池化层以及一个全连接层，其中全连接层使用 softmax 激活函数，对每一个狗的种类都包含一个节点。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "global_average_pooling2d_1 ( (None, 512)               0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 133)               68229     \n",
      "=================================================================\n",
      "Total params: 68,229\n",
      "Trainable params: 68,229\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "VGG16_model = Sequential()\n",
    "VGG16_model.add(GlobalAveragePooling2D(input_shape=train_VGG16.shape[1:]))\n",
    "VGG16_model.add(Dense(133, activation='softmax'))\n",
    "\n",
    "VGG16_model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 编译模型\n",
    "\n",
    "VGG16_model.compile(loss='categorical_crossentropy', optimizer='rmsprop', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 6680 samples, validate on 835 samples\n",
      "Epoch 1/20\n",
      "6680/6680 [==============================] - 3s 394us/step - loss: 12.5531 - acc: 0.1070 - val_loss: 10.9231 - val_acc: 0.1988\n",
      "\n",
      "Epoch 00001: val_loss improved from inf to 10.92308, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 2/20\n",
      "6680/6680 [==============================] - 1s 178us/step - loss: 10.1924 - acc: 0.2651 - val_loss: 10.2071 - val_acc: 0.2491\n",
      "\n",
      "Epoch 00002: val_loss improved from 10.92308 to 10.20708, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 3/20\n",
      "6680/6680 [==============================] - 1s 189us/step - loss: 9.5875 - acc: 0.3335 - val_loss: 9.8616 - val_acc: 0.2838\n",
      "\n",
      "Epoch 00003: val_loss improved from 10.20708 to 9.86157, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 4/20\n",
      "6680/6680 [==============================] - 1s 199us/step - loss: 9.0972 - acc: 0.3680 - val_loss: 9.4616 - val_acc: 0.3090\n",
      "\n",
      "Epoch 00004: val_loss improved from 9.86157 to 9.46163, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 5/20\n",
      "6680/6680 [==============================] - 1s 187us/step - loss: 8.6953 - acc: 0.4030 - val_loss: 9.1553 - val_acc: 0.3341\n",
      "\n",
      "Epoch 00005: val_loss improved from 9.46163 to 9.15530, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 6/20\n",
      "6680/6680 [==============================] - 1s 172us/step - loss: 8.3226 - acc: 0.4356 - val_loss: 8.9485 - val_acc: 0.3545\n",
      "\n",
      "Epoch 00006: val_loss improved from 9.15530 to 8.94854, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 7/20\n",
      "6680/6680 [==============================] - 1s 188us/step - loss: 8.1063 - acc: 0.4534 - val_loss: 8.6712 - val_acc: 0.3677\n",
      "\n",
      "Epoch 00007: val_loss improved from 8.94854 to 8.67116, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 8/20\n",
      "6680/6680 [==============================] - 1s 175us/step - loss: 7.8096 - acc: 0.4772 - val_loss: 8.4480 - val_acc: 0.3916\n",
      "\n",
      "Epoch 00008: val_loss improved from 8.67116 to 8.44795, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 9/20\n",
      "6680/6680 [==============================] - 1s 175us/step - loss: 7.6761 - acc: 0.4930 - val_loss: 8.4660 - val_acc: 0.3832\n",
      "\n",
      "Epoch 00009: val_loss did not improve from 8.44795\n",
      "Epoch 10/20\n",
      "6680/6680 [==============================] - 1s 193us/step - loss: 7.4982 - acc: 0.5084 - val_loss: 8.3045 - val_acc: 0.3904\n",
      "\n",
      "Epoch 00010: val_loss improved from 8.44795 to 8.30451, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 11/20\n",
      "6680/6680 [==============================] - 1s 187us/step - loss: 7.3364 - acc: 0.5219 - val_loss: 8.2001 - val_acc: 0.4108\n",
      "\n",
      "Epoch 00011: val_loss improved from 8.30451 to 8.20006, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 12/20\n",
      "6680/6680 [==============================] - 1s 180us/step - loss: 7.2804 - acc: 0.5316 - val_loss: 8.1296 - val_acc: 0.4216\n",
      "\n",
      "Epoch 00012: val_loss improved from 8.20006 to 8.12958, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 13/20\n",
      "6680/6680 [==============================] - 1s 188us/step - loss: 7.2457 - acc: 0.5379 - val_loss: 8.1316 - val_acc: 0.4168\n",
      "\n",
      "Epoch 00013: val_loss did not improve from 8.12958\n",
      "Epoch 14/20\n",
      "6680/6680 [==============================] - 1s 205us/step - loss: 7.1386 - acc: 0.5391 - val_loss: 8.0307 - val_acc: 0.4228\n",
      "\n",
      "Epoch 00014: val_loss improved from 8.12958 to 8.03069, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 15/20\n",
      "6680/6680 [==============================] - 1s 172us/step - loss: 6.9897 - acc: 0.5485 - val_loss: 7.9232 - val_acc: 0.4263\n",
      "\n",
      "Epoch 00015: val_loss improved from 8.03069 to 7.92325, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 16/20\n",
      "6680/6680 [==============================] - 1s 203us/step - loss: 6.8471 - acc: 0.5588 - val_loss: 7.8090 - val_acc: 0.4263\n",
      "\n",
      "Epoch 00016: val_loss improved from 7.92325 to 7.80897, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 17/20\n",
      "6680/6680 [==============================] - 1s 174us/step - loss: 6.7826 - acc: 0.5681 - val_loss: 7.7769 - val_acc: 0.4443\n",
      "\n",
      "Epoch 00017: val_loss improved from 7.80897 to 7.77690, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 18/20\n",
      "6680/6680 [==============================] - 1s 192us/step - loss: 6.7568 - acc: 0.5729 - val_loss: 7.7757 - val_acc: 0.4407\n",
      "\n",
      "Epoch 00018: val_loss improved from 7.77690 to 7.77566, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 19/20\n",
      "6680/6680 [==============================] - 1s 170us/step - loss: 6.7325 - acc: 0.5754 - val_loss: 7.7408 - val_acc: 0.4491\n",
      "\n",
      "Epoch 00019: val_loss improved from 7.77566 to 7.74077, saving model to saved_models/weights.best.VGG16.hdf5\n",
      "Epoch 20/20\n",
      "6680/6680 [==============================] - 1s 170us/step - loss: 6.6235 - acc: 0.5784 - val_loss: 7.6458 - val_acc: 0.4443\n",
      "\n",
      "Epoch 00020: val_loss improved from 7.74077 to 7.64577, saving model to saved_models/weights.best.VGG16.hdf5\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7fdb00ba1240>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## 训练模型\n",
    "from keras.callbacks import ModelCheckpoint \n",
    "checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.VGG16.hdf5', \n",
    "                               verbose=1, save_best_only=True)\n",
    "\n",
    "VGG16_model.fit(train_VGG16, train_targets, \n",
    "          validation_data=(valid_VGG16, valid_targets),\n",
    "          epochs=20, batch_size=20, callbacks=[checkpointer], verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "## 加载具有最好验证loss的模型\n",
    "VGG16_model.load_weights('saved_models/weights.best.VGG16.hdf5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 测试模型\n",
    "现在，我们可以测试此CNN在狗图像测试数据集中识别品种的效果如何。我们在下方打印出测试准确率。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 43.4211%\n"
     ]
    }
   ],
   "source": [
    "# 获取测试数据集中每一个图像所预测的狗品种的index\n",
    "VGG16_predictions = [np.argmax(VGG16_model.predict(np.expand_dims(feature, axis=0))) for feature in test_VGG16]\n",
    "\n",
    "# 报告测试准确率\n",
    "test_accuracy = 100*np.sum(np.array(VGG16_predictions)==np.argmax(test_targets, axis=1))/len(VGG16_predictions)\n",
    "print('Test accuracy: %.4f%%' % test_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 使用模型预测狗的品种"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "from extract_bottleneck_features import *\n",
    "\n",
    "def VGG16_predict_breed(img_path):\n",
    "    # 提取bottleneck特征\n",
    "    bottleneck_feature = extract_VGG16(path_to_tensor(img_path))\n",
    "    # 获取预测向量\n",
    "    predicted_vector = VGG16_model.predict(bottleneck_feature)\n",
    "    # 返回此模型预测的狗的品种\n",
    "    return dog_names[np.argmax(predicted_vector)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<a id='step5'></a>\n",
    "## 步骤 5: 建立一个CNN来分类狗的品种（使用迁移学习）\n",
    "\n",
    "现在你将使用迁移学习来建立一个CNN，从而可以从图像中识别狗的品种。你的 CNN 在测试集上的准确率必须至少达到60%。\n",
    "\n",
    "在步骤4中，我们使用了迁移学习来创建一个使用基于 VGG-16 提取的特征向量来搭建一个 CNN。在本部分内容中，你必须使用另一个预训练模型来搭建一个 CNN。为了让这个任务更易实现，我们已经预先对目前 keras 中可用的几种网络进行了预训练：\n",
    "\n",
    "- [VGG-19](https://s3.cn-north-1.amazonaws.com.cn/static-documents/nd101/DLND+documents/DogVGG19Data.npz) bottleneck features\n",
    "- [ResNet-50](https://s3.cn-north-1.amazonaws.com.cn/static-documents/nd101/DLND+documents/DogResnet50Data.npz) bottleneck features\n",
    "- [Inception](https://s3.cn-north-1.amazonaws.com.cn/static-documents/nd101/DLND+documents/DogInceptionV3Data.npz) bottleneck features\n",
    "- [Xception](https://s3.cn-north-1.amazonaws.com.cn/static-documents/nd101/DLND+documents/DogXceptionData.npz) bottleneck features\n",
    "\n",
    "这些文件被命名为为：\n",
    "\n",
    "    Dog{network}Data.npz\n",
    "\n",
    "其中 `{network}` 可以是 `VGG19`、`Resnet50`、`InceptionV3` 或 `Xception` 中的一个。选择上方网络架构中的一个，下载相对应的bottleneck特征，并将所下载的文件保存在目录 `bottleneck_features/` 中。\n",
    "\n",
    "\n",
    "### 【练习】获取模型的特征向量\n",
    "\n",
    "在下方代码块中，通过运行下方代码提取训练、测试与验证集相对应的bottleneck特征。\n",
    "\n",
    "    bottleneck_features = np.load('bottleneck_features/Dog{network}Data.npz')\n",
    "    train_{network} = bottleneck_features['train']\n",
    "    valid_{network} = bottleneck_features['valid']\n",
    "    test_{network} = bottleneck_features['test']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO: 从另一个预训练的CNN获取bottleneck特征\n",
    "bottleneck_features = np.load('bottleneck_features/DogInceptionV3Data.npz')\n",
    "train_Inception = bottleneck_features['train']\n",
    "valid_Inception = bottleneck_features['valid']\n",
    "test_Inception = bottleneck_features['test']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 【练习】模型架构\n",
    "\n",
    "建立一个CNN来分类狗品种。在你的代码单元块的最后，通过运行如下代码输出网络的结构：\n",
    "    \n",
    "        <your model's name>.summary()\n",
    "   \n",
    "---\n",
    "\n",
    "<a id='question6'></a>  \n",
    "\n",
    "### __问题 6:__ \n",
    "\n",
    "\n",
    "在下方的代码块中尝试使用 Keras 搭建最终的网络架构，并回答你实现最终 CNN 架构的步骤与每一步的作用，并描述你在迁移学习过程中，使用该网络架构的原因。\n",
    "\n",
    "\n",
    "__回答:__ \n",
    "\n",
    "本次迁移学习过程选择了训练好的InceptionV3模型，Inception模型将1x1，3x3，5x5的conv和3x3的pooling，stack在一起，提高了增加了网络的width，同时使得网络对尺度有好的适应性。迁移学习的效果会更好，同时V3将7x7分解成两个一维的卷积（1x7,7x1），3x3也是一样（1x3,3x1），提高网络的计算效率，又可以将1个conv拆成2个conv，使得网络深度进一步增加，增加了网络的非线性。因此选择了InceptionV3模型作为本次的迁移框架；\n",
    "本次训练是进行狗的分类，和Inception的训练数据类似，因此只需要将最终的全连接层输出换成本次分类的输出即可使用，首先使用了一层全局平均池化层提取Inception数据的重要特征，将数据压缩成便于全连接层的输入，在增加一层数据为本次训练的133种狗类的分类输出的全连接层用于数据。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "global_average_pooling2d_2 ( (None, 2048)              0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 133)               272517    \n",
      "=================================================================\n",
      "Total params: 272,517\n",
      "Trainable params: 272,517\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "### TODO: 定义你的框架\n",
    "Inception_model = Sequential()\n",
    "Inception_model.add(GlobalAveragePooling2D(input_shape=train_Inception.shape[1:]))\n",
    "Inception_model.add(Dense(133, activation='softmax'))\n",
    "\n",
    "Inception_model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO: 编译模型\n",
    "Inception_model.compile(loss='categorical_crossentropy', optimizer='rmsprop', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### 【练习】训练模型\n",
    "\n",
    "<a id='question7'></a>  \n",
    "\n",
    "### __问题 7:__ \n",
    "\n",
    "在下方代码单元中训练你的模型。使用模型检查点（model checkpointing）来储存具有最低验证集 loss 的模型。\n",
    "\n",
    "当然，你也可以对训练集进行 [数据增强](https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html) 以优化模型的表现，不过这不是必须的步骤。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/anaconda3/lib/python3.6/site-packages/keras_preprocessing/image.py:1183: UserWarning: Expected input to be images (as Numpy array) following the data format convention \"channels_last\" (channels on axis 3), i.e. expected either 1, 3 or 4 channels on axis 3. However, it was passed an array with shape (6680, 5, 5, 2048) (2048 channels).\n",
      "  ' channels).')\n",
      "/root/anaconda3/lib/python3.6/site-packages/keras_preprocessing/image.py:1183: UserWarning: Expected input to be images (as Numpy array) following the data format convention \"channels_last\" (channels on axis 3), i.e. expected either 1, 3 or 4 channels on axis 3. However, it was passed an array with shape (835, 5, 5, 2048) (2048 channels).\n",
      "  ' channels).')\n",
      "/root/anaconda3/lib/python3.6/site-packages/keras_preprocessing/image.py:1404: UserWarning: NumpyArrayIterator is set to use the data format convention \"channels_last\" (channels on axis 3), i.e. expected either 1, 3 or 4 channels on axis 3. However, it was passed an array with shape (6680, 5, 5, 2048) (2048 channels).\n",
      "  str(self.x.shape[channels_axis]) + ' channels).')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "334/334 [==============================] - 254s 760ms/step - loss: 1.1970 - acc: 0.7037 - val_loss: 0.6702 - val_acc: 0.8168\n",
      "\n",
      "Epoch 00001: val_loss improved from inf to 0.67017, saving model to saved_models/weights.best.Inception.hdf5\n",
      "Epoch 2/5\n",
      "334/334 [==============================] - 253s 758ms/step - loss: 0.5030 - acc: 0.8487 - val_loss: 0.6488 - val_acc: 0.8204\n",
      "\n",
      "Epoch 00002: val_loss improved from 0.67017 to 0.64879, saving model to saved_models/weights.best.Inception.hdf5\n",
      "Epoch 3/5\n",
      "334/334 [==============================] - 255s 763ms/step - loss: 0.3831 - acc: 0.8840 - val_loss: 0.6564 - val_acc: 0.8407\n",
      "\n",
      "Epoch 00003: val_loss did not improve from 0.64879\n",
      "Epoch 4/5\n",
      "334/334 [==============================] - 256s 767ms/step - loss: 0.3036 - acc: 0.9055 - val_loss: 0.6843 - val_acc: 0.8395\n",
      "\n",
      "Epoch 00004: val_loss did not improve from 0.64879\n",
      "Epoch 5/5\n",
      "334/334 [==============================] - 256s 765ms/step - loss: 0.2539 - acc: 0.9204 - val_loss: 0.7182 - val_acc: 0.8479\n",
      "\n",
      "Epoch 00005: val_loss did not improve from 0.64879\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7fdb19356518>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### TODO: 训练模型\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.callbacks import ModelCheckpoint\n",
    "checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.Inception.hdf5', \n",
    "                               verbose=1, save_best_only=True)\n",
    "\n",
    "datagen = ImageDataGenerator(width_shift_range=0.2, height_shift_range=0.2,horizontal_flip=True)\n",
    "datagen.fit(train_Inception)\n",
    "datagen.fit(valid_Inception)\n",
    "\n",
    "Inception_model.fit_generator(datagen.flow(train_Inception, train_targets, batch_size=20),\n",
    "                             steps_per_epoch=train_Inception.shape[0]//20, epochs=5, verbose=1,\n",
    "                             callbacks=[checkpointer], validation_data=(valid_Inception, valid_targets))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO: 加载具有最佳验证loss的模型权重\n",
    "Inception_model.load_weights('saved_models/weights.best.Inception.hdf5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### 【练习】测试模型\n",
    "\n",
    "<a id='question8'></a>  \n",
    "\n",
    "### __问题 8:__ \n",
    "\n",
    "在狗图像的测试数据集上试用你的模型。确保测试准确率大于60%。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test accuracy: 80.1435%\n"
     ]
    }
   ],
   "source": [
    "### TODO: 在测试集上计算分类准确率\n",
    "# 获取测试数据集中每一个图像所预测的狗品种的index\n",
    "Inception_predictions = [np.argmax(Inception_model.predict(np.expand_dims(feature, axis=0))) for feature in test_Inception]\n",
    "\n",
    "# 报告测试准确率\n",
    "test_accuracy = 100*np.sum(np.array(Inception_predictions)==np.argmax(test_targets, axis=1))/len(Inception_predictions)\n",
    "print('Test accuracy: %.4f%%' % test_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### 【练习】使用模型测试狗的品种\n",
    "\n",
    "\n",
    "实现一个函数，它的输入为图像路径，功能为预测对应图像的类别，输出为你模型预测出的狗类别（`Affenpinscher`, `Afghan_hound` 等）。\n",
    "\n",
    "与步骤5中的模拟函数类似，你的函数应当包含如下三个步骤：\n",
    "\n",
    "1. 根据选定的模型载入图像特征（bottleneck features）\n",
    "2. 将图像特征输输入到你的模型中，并返回预测向量。注意，在该向量上使用 argmax 函数可以返回狗种类的序号。\n",
    "3. 使用在步骤0中定义的 `dog_names` 数组来返回对应的狗种类名称。\n",
    "\n",
    "提取图像特征过程中使用到的函数可以在 `extract_bottleneck_features.py` 中找到。同时，他们应已在之前的代码块中被导入。根据你选定的 CNN 网络，你可以使用 `extract_{network}` 函数来获得对应的图像特征，其中 `{network}` 代表 `VGG19`, `Resnet50`, `InceptionV3`, 或 `Xception` 中的一个。\n",
    " \n",
    "---\n",
    "\n",
    "<a id='question9'></a>  \n",
    "\n",
    "### __问题 9:__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO: 写一个函数，该函数将图像的路径作为输入\n",
    "### 然后返回此模型所预测的狗的品种\n",
    "from extract_bottleneck_features import *\n",
    "\n",
    "def Inception_prediction(img_path):\n",
    "    # 提取bottleneck特征\n",
    "    bottleneck_feature = extract_InceptionV3(path_to_tensor(img_path))\n",
    "    # 获取预测向量\n",
    "    predicted_vector = Inception_model.predict(bottleneck_feature)\n",
    "    # 返回此模型预测的狗的品种\n",
    "    return dog_names[np.argmax(predicted_vector)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<a id='step6'></a>\n",
    "## 步骤 6: 完成你的算法\n",
    "\n",
    "\n",
    "\n",
    "实现一个算法，它的输入为图像的路径，它能够区分图像是否包含一个人、狗或两者都不包含，然后：\n",
    "\n",
    "- 如果从图像中检测到一只__狗__，返回被预测的品种。\n",
    "- 如果从图像中检测到__人__，返回最相像的狗品种。\n",
    "- 如果两者都不能在图像中检测到，输出错误提示。\n",
    "\n",
    "我们非常欢迎你来自己编写检测图像中人类与狗的函数，你可以随意地使用上方完成的 `face_detector` 和 `dog_detector` 函数。你__需要__在步骤5使用你的CNN来预测狗品种。\n",
    "\n",
    "下面提供了算法的示例输出，但你可以自由地设计自己的模型！\n",
    "\n",
    "![Sample Human Output](images/sample_human_output.png)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "<a id='question10'></a>  \n",
    "\n",
    "### __问题 10:__\n",
    "\n",
    "在下方代码块中完成你的代码。\n",
    "\n",
    "---\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TODO: 设计你的算法\n",
    "### 自由地使用所需的代码单元数吧\n",
    "def face_dog_prediction(img_path):\n",
    "    if face_detector(img_path) or dog_detector(img_path):\n",
    "        img = cv2.imread(img_path)\n",
    "        if face_detector(img_path):\n",
    "            print('hey,human!')\n",
    "            dog_prediction = 'You look like a ...{}'.format(Inception_prediction(img_path))\n",
    "            plt.imshow(img)\n",
    "            plt.show()\n",
    "            print(dog_prediction)\n",
    "        else:\n",
    "            print('this is a dog!')\n",
    "            dog_prediction = 'Thie dog is ...{}'.format(Inception_prediction(img_path))\n",
    "            plt.imshow(img)\n",
    "            plt.show()\n",
    "            print(dog_prediction)\n",
    "    else:\n",
    "        print('please input a picture of human or dog!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<a id='step7'></a>\n",
    "## 步骤 7: 测试你的算法\n",
    "\n",
    "在这个部分中，你将尝试一下你的新算法！算法认为__你__看起来像什么类型的狗？如果你有一只狗，它可以准确地预测你的狗的品种吗？如果你有一只猫，它会将你的猫误判为一只狗吗？\n",
    "\n",
    "\n",
    "<a id='question11'></a>  \n",
    "\n",
    "### __问题 11:__\n",
    "\n",
    "在下方编写代码，用至少6张现实中的图片来测试你的算法。你可以使用任意照片，不过请至少使用两张人类图片（要征得当事人同意哦）和两张狗的图片。\n",
    "同时请回答如下问题：\n",
    "\n",
    "1. 输出结果比你预想的要好吗 :) ？或者更糟 :( ？\n",
    "2. 提出至少三点改进你的模型的想法。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 一共测试了7张图片，包含两张狗狗图片，两张人类图片和三张猫图片，目前三张图片均完成正常识别，效果达到预期；\n",
    "\n",
    "2. 本次模型使用了Inception模型的输出作为输入增加全局平均池化层提取模型数据特征，增加一层全连接层作为最终数据，测试集识别率达到80%，针对模型目前想到的改进点如下：①本次采用的图片效果增强提高模型效果，但是只针对height，weight进行0.2的调整及翻转，可以通过增加图片调整的角度范围，白化等更多效果得到更多不同的特征用于学习；②本次直接通过Inception输出后增加全连接用于分类，可以尝试增加全连接层来提取更多信息；3.尝试更多不同搭建的模型得到更适合本次分类的模型。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this is a dog!\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thie dog is ...Chihuahua\n"
     ]
    }
   ],
   "source": [
    "## TODO: 在你的电脑上，在步骤6中，至少在6张图片上运行你的算法。\n",
    "## 自由地使用所需的代码单元数吧\n",
    "face_dog_prediction('testphoto/test1.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this is a dog!\n"
     ]
    },
    {
     "data": {
      "image/png": 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4WXuiCrjrFTlkOA6sNw2mwHZCTDhjZnoLxiSrAm8NWiKbhWNVWRpjGDYLLhZLYoZ+yMSQ2B+OJa9y3BNzIg4dqfL0XYfR4JXGO4eIlLkaN4vIY3jvvSdl5rWrmgYF5fWjI7i8vCwOPQneFY445YiynqEX2j7R94l9G0gpo7Wl63Nx8DGShjhHeKfTCYAf/86PePv2LR8+vud0OlHXhTNumoYQAr4qB8iqccQw4L3n+qJQdd5qtK75eH8kxUhdObRAJBX0roWHhy33d3copdhsNmyWC4wx7O637I4Hbm9vWSyXxbl7z3K9LiDDZOrFAm3geDpwPLXz+sQYMcqgVMmnIIXW8MYSUznAnDEkSUWokCHnRKYcXApYrZdogSF0xf7Vp6j9bN8XmzijeQDquqZpmtmpATOFMSHeYRjmZKwxBmU0KWXakYqqqmoGYzkFkIRWkFNCUgJKfkwwpFRgR0KRsWRlyTlxbHtOfYcxhuVyicmKFDPDSMMZU6LxymhQEaU0kmSM5ktStuR04ifRyDkSn/5PKTXTecvlEicZjVB7NwsBQI00m5n9hWMUKozR5bcZ35mD/01GHlUuzrnxpoQYAwCLusY1DTENKFVOyQntaq1ByoL3IZTXjk7x/fst+4d7YtdSe816vebq8gJvLEEHtCqn8zm/OWX7Hzl5PjFGZ83s3AFCCJxOp/l6mqb5JNF0jjjhUSEC4MdwfLfbsVqtePHiOW3b8u7dO7x3dF1HyoG68fjK8nD3UBKT3tM0dUnydidiSHOiLdpiODdXV3Sjs7y7u2O58IVHNC3eebLS7PctaqERMl5prFKgNHe7lpAyq9oiYSAaSEpzdekxMqkbvjbUpGoCJQmtDNpA5YtjzisIKWNNJvmEkAmDo5eeEBLeaLyGymhUjiCpUAAjR61GxClnfCY8oswYI43WHA57NpvNHN429WI+sCVTIhCjSXLGEWdIKRNCQlCEmMdNmsmTo09pRuwTH38euc0c63iwGJNx3qJUKklJXZQxQKFLBJwuthTTgHeKytf0XUeKAWMUtatZNQu8tYSUOB6Pc97GGIOv6+LwrEG0wrnH6LXrhvl6ygUqYES+GTBnCD3nQj+MiclZRaMUMZR7NyPiRjjbL//f+3raR+f8+vl8nVM5036alGAAKppCuySZzU6JlNxFzkV1IoJKgZAEtEErhYzXm6f3TOoVoE8DViaFkEbGHI7WmhQHkB5lDENXnPSU9DtXOUGJLjKPUftkh+cH1PR/5xTMdK/TvMxKs/O/z677247vhYNXCmpfEpDH9oRIZOEtzlv6vmd3fODicl1oGu+pq4acRx5RaYbTCecXRFF8uNvxb//yr0jasqwcq8s1L2+uWDQeYyv27Z44ZBqrWTVm5s5EBMUkk8qzUiYjcyJvt9vNp/Z00BTVi8xOpW1b3Bk9c77RvPfz53vvCwffVLzfPbBcLlksFvz4i5KbPp4OI3caMRpePL8qyP10IKWI956uDwx9z8N2O6oyyvdtrp6RYyTmxO37j6x++DkfPt5yPNas1gvWmxUpDBitEaDPUigbnaiM0JO42DgcxQGFY2a5zNTeoLQmP4on0bOUbZSOKjVWV1iWTYl+6rompczp1BNSZrGwpJRYHjRt29Lut2iVyLHkB6IBlQdIAZUKikkzSnvcDFOkdTweuX7+ilevX9IPHc3iOatmweFw4NnLF4TAmFC1aGNpuwFJYd5wp1NH2weE4rRziPTdESXMCDPGyG634/7+ns1mQ9M04xoXIDIMA965knCuKozWhFByPYqMsxpniz07W7R31mpy9ogkvBd++YtfEkPm8zcvWTRLYkw8bG85ti3v3r9Ha83Ni+dkEVarFca7QltYy2JhCSmz2x2IIbFYbqiqelaV5Vyip0DE+CIrbWNkCAOVs2VuVUkIa1PyXCGUe3O2CBIkyzef7/8vjmhynsaYGdRM+avJAU6IeBiGea8455Bc0LIoMCO4iyEQwoCkiKRU7DMmkpRDZ8xTEkNC9OS8DdaNoKxriSQ0hTVQxlJVmkUM7A5HQh/o+xZTK1arFVq7QjGeRaxqPhQehRohhNnBA3PkZ619pGViYOiK3VZVhRI9qr7HHZVTkVhrUEqoKse3Hd8LBz8h3TgMDKHDKk1CyP1AGgLeKZ5dX1E1zXwyhhBo267witqilBnleS1ZimSybio2ywXLRYUS0CoDCWc1jXZ0I2d77uA/SfZoPUcXU5h1nvyYnPy5gU9c6dez4NO/Tz9PnxFiCeOL5OuEc4blasHl1YYQAvv9npgCVxeb8Z5bUjtyphQHNHQlbI5VA8D29o7VesnDbs9yuSxzPMq5ttstQp4d1KRLHwRQQgrFQPddoNKCSZE+ZV4GVZJNMM/V48hoKRQSM2osXK6IYE3RbFuv0EmDMuSsWCWHU7BeVqRU+PjaGjpdHGcOPVrJvEE4Q4PTNUwHac6ZZ8+e8XB//4m6I4SAaE8WIYmQhJnayZIQyqGYYkZUwlAiwjiUKM9aP691OQxOOOdYLJtPEFhKiTxSF9oYKmdRkrFagRQnYBTj/ytSiljnMNpyPO3p2h5jFXXdcHG5BtHc3d1xOBzo+x49XkOhIB73zBRNxPFAn5zPdG0iqshp899GzpMtWq2JkzR4UqecRSlTxApnSPNs9WdlzdfG9N7JwZ8j+GlvfFNydvoTUoniphoWeOTpUSWxTKLI6nLJESURhIn7V4xVJKjxu5PzqJxAK6RUzGCdYlE3XK4GuiEwjJGyMyW5mkY11pSDKgDPjfelHtf/7J4mZz8BuWk9zpVdU4RzTmuVOVLzOn7b8b1w8CKZ4+GBYRiKuoNMHHqstfzg8zdcbjZYpzn0iePxxIePH0du0JQEmirJja++usVay7OXb1hUmlevn7GsPEqGGZE8v7rAVA2HVlBauLy8JKXEbrt9LDhhDOuMQZvHYt8QwicUjPd+5uTPM+hTqHu+0ab3K6VmuWSMkdVywdAP/Pp+i9JC3VRcXl5yc3NFs6i5urwg5UjftmglvHr5nLYb6NoepKgtHh4eCufvS95CmUTfGaw27B62fHjvaJqqUAwpcn9/z+3dHYsfvCErjVWGIJkMRKMIbeTjrqOxCpPKmnx2WeR4jbGg5ZNDTTMJKeUsM1QKO7IGxgihWRRn6WJxlkurSBcCJO73LdcPuzF/AV999RVGwcXFktwxHrJnqo6c0eYRIR6PR3bbLW/fvgWVORwOvHzzmq4dsJUFNDEmwsi3hiCFTjqT7h1OLVZpjFI0zhJiXxJ9IlRVOYR2u92YbLvG+0fn3/d9UbOoEaHVvkjfpvoHMsMwkHNmsfDEqKmqIjnN+6IY++IHbzDasr/fs3s48LDdz7TF5eUlfqQg66YhGz2jwyTCqT0Sc5F8Vk2NGWXACkVOBtGC5JGWGB2NtRZnSl2JiBD7nkjGuwJcLi4uAEgxEuJQ1DaMSdBxmc8VI18fM43KoyOfotwwyo/PJYbToTU5+GEIgFB7j9YFFQ9dSxyGouoRUJJJ2jDqGRFVig0TgkoQySgBNR7krZQMps+aJgpKRVZNTe2L0inFDFqhR0ccQih5J+sfc3HGUY1SRq1L9NZ13Scyz8k/nOcZKqXmKGUCLVMeb7rnnDNtCn/rYP2Hju+Fg49J+LA9UHnLwpUKs5cvPmexWKC0ZT9E9tuBv/nVHW13Ig2Bq+sLDMLdx69YVpaLzYabiwWh71HDA599/mOuLy4QSewe9kBJkrx984KUBSU7TnZgtVQMneXOQQiZKILWlhgzTgmLymGdwVhNH0cp00i7GKW43GxouxOSMlXjUMqT0yOynJAEwKKpx8KPknStvKMPA0orjCuh63Z7oG0Dd3c7rLU8f/68FEYtG7Zhy7tfvWO1WnFzc4Vwy3rzll+//4oYI7e792w2GxgCWQKb9QWNbzg9dNS25qsP7/jih59zd/+BxbLhr3/2JT/80Rfcb29ZbxbkONCFTK8UH481KWYqX5KH/Grgx8rwxWJg4wFacIaMIeSaLAodQbuvaXdlrFc4+6faF8ONdUVIiZdaY5o9m6sLPu4eqBY1X371DoUmpMTtfosWRcgKV1dkDEN2WNsQMoRhIOXA6fjAz3/W8qd/+qd0Xcf9x3s2F1coq0hJ03XCEKELpXAr9kKWgDPQOMBpdg8lQV7XNUp7QuxL9OE0QiIm6IfEw75nsTDUdc2QE30S+tCiq4ahC/hmQZKI0QZ0qfItITisTI+vK3ISuiHyfHlDynA8dNzd33M4dHRtjyRFBBbrNcvNmqkKUs5Q75QX8HWF0WCNw2mDxITkQFNXeFcOQ+8droJaB8QJvRSFSlHIRMRASoE2Qm0VlSq5ni709CmRyBhVCrKsRIxQ6hmw5FQjBdkU2x/1+YpHCmfoA6ICp9iWCu7ZuZfKbI3GGsuQpcgeKaoSbUoEmlJB7JIVeYAkgsoWbAF6VlmsNsTRBEMeOHYRpQwh5jFR26KVISpHG2qSssgp44zCKIXXBqOh80X+2seE86VQsu/70YkXCgWEd4eRxlIWnRKqbyFllqslWTQPXc+QBDGWl/6AaxxKCV06klVDlyKoooSKqUQ5XS4HG781SdZRSliq6YTlckEz0jF9SIQkPGz3HE8Huq7jYr0EEXb7XeHv65qYQqlOW1S8fv2azWY96nC7ok6xlpubm1mxstvt5pDom0LE6YTt+55+ELIktCsL7c7CxSnpppRGj5Wl1j5qY6fXATOCs9bOyGcqkpkqFZVSs3Z24vF2ux0/fPuK1WqFKMX9/T1ZweXlJf0oy5o+s+s6ar8CIPQ9QQJC0SPXdc3xeCyVhBrafiDFjHc1Qx9LAYku+YMwxFlHPQyBU18+26xqRCLKWc4Ddf14jv29h9ZglaWqPcvlAhcTr1+8BNFcrjdFM394lPudR1fnye/p3yakNAwDVVUR6oLkL+v1fHFljgaGEGb6bRpTvmT6rqllwPT5SikkPxbwhBBm5cNEIU2fc17AM33G9DozIr3J7pWxqCQcDsW+J+24iLBar2ZpodIa731BqWfl7FP0qHUprSr29ljEd16OP72+XOhYJp8yYYgjrZBRKo6FefnTQh1KGb2CTzmas/F1uvJ8bovjP1/LMbmrH6mPcxoHdU7nqE8okIk2jSOQ0lrNr0050Q/FtmPKoCKlInBMKvsa49wcYaeUyDEhMWC0UDlL1GZWAn09QQqPVJGIlDqREfhZxiRviETKodDHjKlqWgVOJuEFQC5a+1mSOSAlgPgPNr4fDj4nYn/ENRvevnkDCCFm2q5luztxGiJf/vqrEt4oxWpRIZJpvGZ9dY3TpVjk6tVzVqsFV1dXbLc7YgoYrXnx4gVV5ej7nnfv3rE/HBlyCSFfvXqF0Y73X31ApKVvAyJpDmGbpsKNCV9MccDTgkoqiaFS9aZn2kWrR+5yMo7JCRtTUN+kY54cwSwXE6icH403ctwfOO4PhNMeEeHVmze8ffuW+90D79+/Z71e8/rFS4Zh4O7uDq/0HMZaVThbow37hwfevH3F3f1H3rx9yeG4J0X4+LFIMrvhSF1XQCaEgcO+VNTWVTnkvtKBSt/x+6/fEpPFKQHiqILP6LGzzN/Fx37jkIxVirry3GhLEEX72cBi2fDu3Ttu7+/5l1/9K1KIZY512ViVf1Qo1HVNKMJ+Fqs1zjn+3V//e25ubvjJ7/0+H2/vi1RNDDHq+QC4P+1AdEnAGYd4ReiFphGG0DPEFucc1Vh0kqbDIA6EoOF0nB28cw5nNDIm3XIudIz3HhllvueFPs4mRCm0s9TOcDwNHI+FagshkXLCeUu9WOJX9Txd2hjM+BldGD455OKYy4ECGuzIoaMyxnhqNynPFCGVVhNdSPR9KHkva0miCTnSnXqOXeCkxyIwlVGjrNcZhRIwJMgyU1jnmvdvcvJTjqXtj0WxJIIxFA58pD29q0ZaZCqiYqZWc87EIczSQe0sOUZCG4jW4TTEVBx7qbtIIFKku1rjnEYpU/ZX3WCcn2WZaSjgkBgwGpaLGj8KOc4VdZMK7nQ6FZVbSggVQkbFgFbgnEFp6LueLkVyn1BoUtfz5bBk0VSlrYpVNKLou0BjYykW9BqnDTq5Tw7kbzO+Fw5eKXjx/IbNaoFIQcUxZWLI7PZkfWxBAAAgAElEQVQn9m3HECKVL5xj6Mvme/HsBq0FYqD2jouLJU1VEfp25DoXj+8ZEfFutyPlzPrimpgE0z4mSycHDHrW3E7oKIRA5epP1Bxm5NJiCqXwYoQ1Mca/nYAbjWVCAVMB1IS8zgsd1uv1/NqpnDnnIoV8/+EdD7t7Xr9+Td8zKjQU1ni6ZeFow65wuiyWWF0Vw6REEMaYoq3vW+p6w+7hwGq1wlcVoObq0WTL/CeTC5UQhcNpIAkEUThMkTMqxrLxsdLxN1h3U2qhSiLLKHyGq80KZyw/+OwN3mr+bwTrzOgsxyIcXZq4GWOw3pP7MaktGmcrYobdoUgKr66u6L66YwhFCplSgpzRyrLb79HKslyUpKa1FqEkX0PXkbPGV/VYfJMRsWP1YyIljVJhjsDOcwSTzZRkW/rE+UGhFrTS6LEK8ng8st0+oHSJYI0B52vW6xVB5Zma+aZocxKu5qkAZ1wBcxY9OFNUJFaPifmxEdoQx347QdBGk0WTRdH1hXbIqtyDqyzOT4qzsyKnCdlOssSvOfnziHjaQzE+Vg8b/aiwsWNx4HnEMLUBmNByGpOuU7QkIkTJaGVQowx0UrNYY9DajAnRIiMt1+9QekqYd+UwkFRyL1qjDEQR/DfY6xQRdV0318cobee50ErNYC9LYmg7lHbUVnMaAnupSErwTiNqagoohDSAZLw2iBVyfEygf9vxvXDw3jl+9IO39H3P/f0WpTWnPnE4dTzsTwwxk7CsGgVkLtcNi2WDNxpSRhlNU1mczkgsPTqUbkbEZAmhlJqf2iP90NI0K9brNd0wMHx1IOZcyo6HiLKGnKAfE0CWkoR01nI4HGbVwbTp2ralH7qxii6OIe833+e06SfHboxh0XiiyIwmtNa0p/184NT12CitHWbdcgqBn/3sZ3z22Wd454rjtpZlVXqlmI0hDJH2dCjJ2TEZ9/Of/5zLqw37/VDQnRi29/f03cCPf/JDhj6NDkJBNnRtR45l8+68Rt23fNjB8yUMEVAWVEJLwpQWfqRvQPB/Fw7RUipmkYzTiqwVV+sVm9WS3//JP2K1qPgX/9cCo0s7iP1+z+5QDrr1ZsNmc8nl5TUPhz1Q9O0PxxNvP/sBOWd++atfc3V1zXp1gep6utDS9onDcUcfDEOXCeHI4aGfabIiXfWIqkg5zEmw88rEclNlE/btCXKiXizp+0/lm9OaT8qIxyQiIJo+BoahVKfuDnucq0FrmpVn0RSaTdtP22AoY+i6riBUQOmiOKvqwu0qkZIkNQYNNFVFXXvqpsKYUveQlSVKpI8QsgbrCaJLhIoCM9IRuqhPrLVU1qGNIqdwFsFmglHkBHrcL+fqnnOKY0quiiqOHimiAO893lUjJWrmQ7hQWY+VyTGU9hVKmfGeQQxo40kIekLbgHemKKCU4K0gkqmVwijBNxsObeB0OLA/lsSodQ41RunGaqx9rG6fKNi5Tmc8yB61+hlUprIGo2RM6AqrxRIliu2xJaaEw9B3A3EYgMzRafrGU3lNbcFpCAm0SZhUrmuKyL7N+F44eOcs+92WU9vjvGeImbbvaE8Tf+4QNMYIIQ5cXG5YNDX7+9vxJE1Yq3GmhOBh6Lh+/QZUJsSB477QNff396PutVARMUaqqprDbGPGkC3K3JPmnH9zri4of0LnZ7I0dBGY5ZzBnvGIPPLEk7F472eKZnr/xOVWVTUnzkRkroRLsZs54klT/Ktf/ILPP/+cy82mVML2PauLi4K6rOXhYU8ms1ksCCnRdicWy5pmXWN80feKwPHQEoZElogxenZIKSWGPOq8o+eYIu0AwxJc1igztsCdffpvQM/AHAmhNAo9SlkFrQ3rZcP1ZsXN1RXtsKXue1pr56Iq7/3cedCa4hyaZslut2MYS+/btmO5joCf5YTephGF9RjtCFKKiLwbD0f7uJklJIwWsi7RgTGmtKCmNKFSZ8jVnLVUKE78UxmgUo8cfB71zzEW2iKP64oBpx11XVPVjuOpx+qikplbC4yqjAksTBywsWYsCMooNXLZufDbWpeuiEopyGCsGfMrYxShNApVxATGkHNJthoe7U2px5a4iqJOFJEir1TqE2c+r+8Zgp/zElqVYiumNrtjryd11p8mj1z/GU0xSXrPiwdzzmDGg0Tps/2h0DlhrEaN/DaqtA6e2j/HMROrjUE7S8nkjt9pDST5JHKY1nKaj7mfTkzoUXllR/K8yJBXKKXYHVtiiFQLxyKNB2cqPZwGA20XWC8X1FWFUh4lCptP5Zrl+9ts7DcaKSWUtjSN4f3HLad24ND1aGNxVVNUAs7QLCw39QVIZvtwh6SARnhxc42xmuPpQFVVvP3sNdEYbm+37HcPWDNSI0r4/PPPqJsFmApXV7hdi6ur0l5V67Hk3cwbFw3KFu7z6zpeGWmWfujIMRVdLsz67CnknAqbrq+v/1YCLgylBH5KyLbtaW5eNTkGaw03N8/x3rNarcgh8u7dO7bbe/7l7UfevH7N27dv+f3f/Qld1/FwPHC33XK1WdP2A75ytA+nuU2rswXNnY4tTdPw8eMHbm9vqWpHXRcU23UdTb1ke/+A9572pDCN42e/3uPUmtQI1qlS/IRgRFBGk7/RyX+z49dj8k+UGcvBS+OpnOD5s2sWdc1/+V/8Cb98/8Cf/dmfcTgcWDYNyhXHXjUNvm6ohoSvGvoEgiWlcjjd3e+Iori+eTlvzNVqyaKqeTi1hKFQOykKu3ZX+pQ0fkZyzlal4VddU3nD1LY3hFD4cKOQHMi5RFHL5XLuVdQP/ezw41id7UfZYGXrMZ9k0TqP0saGpi6N7Kyv0caw3iw5xITKpa0ylOZVxhj8GOFNTfGcNogSSEX+WbhtTVNVbNZLrNVU1fj9OuOropvv+56UpkZeJZOixojB5DI/xpXWERohG0MOkW7kxTO5qEd4jG4m/fbkHKf6gb7vQclMiU7tI6qq1GR0bU+KeUbMOeaSF03F6aeYQRTZli6dUSitCHIij1SWcx7IaKvnJmqo0mgtUnrE90MkpCJ99L4oufrUY1Q158qma1BjlD5JUs/3v9aadd2MrQl0aSGM0CxXeO8wzvISxTBEYkh8pnYIJeJqA3ShJSbFh9SX6ufGoLTl2hU59uLbA/jvh4MvqoTEEALHPtDHhHUeUYY8GlLtxypDNSZT+h6vFfVyQUIY2pbL1ZL1eo0xitMwsNs9EEPAmsKtThWI2hja0JOEsT9G4fQnwzyXOCr9yCXOHKjIJ6+LMZJCxNgpNH3UV0+G4L2nbds5ATch9BzKv02taIdhKE48Fx35FBY+PBRHa1VBl69fv+btmze0bctPf/pTfvXzX/DHf/zHpU/K/S05RnbdlvXqgruPt/i6RAbW6dFBlbzExG+rUaNbVZ7T6cR6vSGkviT0ug5VW0JMdF1gewgsa4cSKVI2Cq9sM8XJ/D1HaRVVUGWeWtGWp2aglaFpGn78ox9hqg9cXV1xPHUoG0r/97O8ifUeVxcVUjnIDZlESJGu60YnOFEGmrqpsPuBju6TPEnbtqAyOXvqhaM0AsukUFQ5U0ERuHldC+IMKDxy1szr/O9zPhpGqg5DluL8tLVUY/4nSskdGWN42O+BgigTj601QggFiIw0wrleevq+Em1orCuJdu/MmAAU8tATw8DQ9YRhII89maaD2BqDSOlFo74GIg1qRuxTX6hJVQSMB0aa98+0P/q+H+1OYbQtf4xBnyWmZ1AlGskjmuaxulxECDmh42MhVMylA6ay5xRYUcyIGvX6SiHGkEf/EVKiHyKudhjvSIPMRXQy5tgyep7HCaSd5wfOmwdmSSUikKLmyaRCbemp/1TJY63CwO3DDiWKZVUXhY8u0dAQE+3xhNKOxTJgRVBj99lvM74XDl5rw5fvPtJ2AdssqRYN+/2+GNnYsP9ivcB6MNbzsD/QVJ5m1XB7f8/BKC4vLri6eYZzlndffsmXH3clPDUwhJ7VasUXX3zBsW05HPd0QeiGgQ+3mt3+gDLlIRKiytOjsipIRhkNWiP6caPmWd/OnHBxxpYoT2us8XNRVF3Xs+Jjdur5UVmBRIw19ENpDrVerwmxHw0ok3JRalwuV2gY5aARrRSLqkYj/Ee/+xPquua0f+Bf/Pkv+eHv/Q7Pbi7p+sTP/+ZXLNcbrPF8uL+jH1oW61I8dHv3kc8Wb7m4XJMlEkPA+UuOpwMhFM7fVY7tw4m1uQSE2+2B2gqb5QV11mRd6ArJFGzyG1jUkD5NGk5Stkc5oePt51+QTc0//t3fwXvPu49bkkBUhcrwVcMiKZr1Ba5uSjsC68tzAkxxJKfTCZThcArEWA7qzeWSw+FAiKXtLEDfD+Qs9DaSc6Hj1uuavu+pnJ0b0zXAbn8a6Ro9r6cR+0gdjOtt7aeJspIIlNEpl2TnarUqv+tCVyQRulAeRuKq8n9D14095pkTzu3pRAyByntyCmOyrxTirBYLnLOsF0sUpctiPyXsuz0PDw8cDgfquubZzTVVVbHbb0sxUShOuhtKgeDCWxbWlnsRTVaqKGhyJpHRoiEzJzinw3e636mdxBTJ+qWnaRqqqhxSQ19AXN/3xJDnaKsUZUFKUmgjUcSQEUkM6XEv1VPPdlukpJIEUWP1qLOFShtt6hQiD6cjp6GncQ4b8gycNKXraRoiwapPKlCnA32i76Z7O55KpbHx5f+qxjJIRktAYRBd6m+01iwWV2QUx1PP/tRhRLDO43QiSWJ3PDDEyPvdaaZhv+34Xjj4lDN9khJ6V03Rgcdc+sBpVegZr3F1NbfuVGP/74ftjs9evWSxXILWtP3AdrcbF0MRY89yUXFxccEQSpP9GBNaFynShPCmTTmhsscn05Se0MY+Jo0mFYGi9MzQphh8TKNTrN0nyplJz/6pmqD8vl4WNDqh+0lF0zRFptV1Hc45TocDxhRUW+R7ntiXDVjXNavFYm7C9LOf/w3LxYoXL97w7Pk1P/3rn/Hq9WdUVUU/tGdosjyEwFhN33dYZ0g5YJ2mHzrcWKbv/PQ4vHIvQ6wLmtYe60sxjpKCwvNvwhtOYF+p8dGIUvqMWVDGoVSmVjVXV5e8ePGCD7f3vL99QFuL1n6uHYip9LtRxqCMGTt/FrrJubHqEE0+9IQQyZRHzBW+Xc3Kk9JwKiMSGPrSC2Xivqf1nLohmlM/0nCafNa8bFbQMCXV/3aZf9Gl6zlpWjk3Fi8Vx9afTiXashYxjw/UmHhw5xxD183O1KDmhnNNXTqWNk1T+s8zNvHKqvT7yZk4ouzFomG9XnN9c1lqNCQRU5gT/sPo4L2eajkeaw6MMWSERC45gvxo71P15vnPk4OclGrnDwqZEXJ8pC+/zt+fq3POEb1Q1GwTLYqUtUVPFGd5pGNCgUDbl6Sn6JILCVMEZB4jchshqccGaZNi5rztwtQ/Z6pbaIzHWD1W1JYmZiJTSwxBYWijsLl4wWIZiR8/EA5HsgQ8AkZjlzAMMBxK0ZUKvzUcfMa6Cm0sXR84HAvnpZXQeMOiMnirySJ8uLvj5uqSECNf/epLbm4uubi+QivL/cMOcqIbAvViM6ogGn73d39n5GQ/cnn1DKUNpyFgWsd67UnxUetaQlX9SQuCWcs+dhqceqFPibUQYimUIM1qD5GSqJ1C16qqCtWh1Nw2VWvNcLxHobi+uKSqqvIkp+OR2nnW6/Wsmb9/uC2qm8UCO/H1eY+pa6qRRjnu9sQQ+JP/6k/46quv+PLLL3n99jN+lDX/6i/+gn/8H/8n7H/9wHa7ZbXZcH19/djQ7XDH27dv2W63NE3DdnvHi+evyDlxeXlBLxljLPvTkRhW3G13aLvGWkddGbRA0r+pDr4gNBmRcJE6ZnKX5jmHQqP90R/9EYvVhpA1WWm2p8DV5TWLi0ts3bNaX6Gdpzu1rFZrNMLN1cUowasYYiS+v+dwOGCMpRehWRTd9fHQIeXha8Q4PlHKFKXHbnuPrxuOxyMiws3zF8RYHiXYD2kuWT+n8aak63lhzjQt5RAYI5cxqW6MGZ9YVNooTADDe88xPD5TwFqLVZq+bTns9wzDwGa54nA4oBelne7N9fV4TSMi1hmlErV3LFYVSkNNw+VmXehMW6i5oWtpD0e6/jRGluNhdRZxSir0pFFjGX42nEKPEqHvHnMO571npgZ7wPzIwSJocPOcTQ5+6t8ygawpuXkuVshjdJ1znh/IMzNU0yRrizauRN3GAZo89uLZHvYMWaibJYum5DxC36OcQedE6HtMNij12LF2kkxPB8v0wJeUErmPhNhTr0o/fl/X2PFZEikFhj6gpeS98CsyCpzjxcs3PHs2EIeOU7fHGU2zqAlDh8TP/4NIJOF74uBFBO8UUQJDe8Sp0iY4hMCy8lTeIEnzEDza3fDLL+9ojzteXq252VygYo9xGiOaru+43Kxxuud4PPKjH/6AtU88PDzw8mpDHwfEVHjj6aSEvM4bfF3RD5GYI30/YM34OK4whql1xSDFeLvRmF1dY5zl17/+gB4LqgBM6DHG4sbMfuh6ulGxY8bQdf/xtqhqrq9LgZEzxJEKWr16zsftHbtw4idffM5mWXOxeoVSamw+dWKzuaC5uaTrOg77E03TsLm55v7+nr/81/+Gq6srXry45v27X/Dy1Rv+s//09/jw/ks+e3HF7e0HriqPXtbc373nzZs3hOFENSJ2CVCZml/9/Jf84R/+YXme5uGO1fIFfdB8eeyRekXaZ5yDpRG0FqIWDjE8orNMUXiMB6Ueke7UvKmqigxPsAxRiEmKA8+ZIZUHnQiKpU5cb6744vUbfvn83xNi5vWVxValO+F64YucsF6xtDU5aOrFgsSKmBSnAEksUS1IOrI7dKUNVVBUyrFuKo45Mkg/NqQrjenGRgHEAYwecyfhVJKuFYVzpbSasFqxUAltFVFr9u0JW28YcinSklSSrEZrFlaI0uMsGOvoohAwdOP8dEJxCs5iZSDHiKtKxDm0A8pkjFGsVgv2x9Ja4Vm1pKoczgpWRch9abqVYbNZYq3BKdBKs7i4oPaWypeHvEseqFVm4QwqOVLWKOOw7QMxJoyAb2qU0gyh9OdB1ygCtSqN5HrK4w9TTESJREbFmPFYbVFGYdXURnt8ghOQM/SpFBAFycSxBZgojR5VcVFlshbIGTs2DERHNKWPDgHEalCOLA05aZzx5JhRKeGtUGsBibTJgkQq71CuyKGNVRgtdIcTOgvNYo2YkpPR1rBcrMtzdI2nH1oOfSRETUpCbQRiyY90x5bNcg3DqIkXg/FTZXQiDceS7xoj3bpqiMZxOPYoV9N1EGPNqhacO5PkfovxvXDwSo+SvNE5+KY8zMPYx6fAOG1Qp8B2e8f246958+IZn3/2Bgkdy6amPGk+oVXG6IKk/uAP/qC0+X24L8hcG7w25dF9D3v2+yOHQ1/QRy4qmEm5cjqdMEqx9MVZnU4nEnbuEJdS4v379wAFCTs3I5DaWWJK7Lb35fDyHt/UtGP1m1KKzeVFUUFMJdOmPLdUCfw/3L1Jr21blt/1m9UqdnmKW7wy3svIsJ2psNMkGINEB4RElxZ03UDyV8Afga+Ae3SQoGNBC4GQ6ICQEGVip52Rzox48Yr73q3O2eVaa1Y0xpxr73vjRaQzI5BCuaWj9865p9irGnPM//gXzhhubm4JfuLh4YH72zs+eHpLSonbuy1aWY7Ho9g2bDc8f67mcOPVesEYJslD1ZaPP/6Y3f7Ier3mm2++4fXr16zXa776+kv+xt/52+x2YvDV9/07Q6TVSnjYr18LFXWxWMjPrnrGcWS5fE7wZ8Yp4lsluak5krUmlGh7YwwKg/fCIpmhhizd2+lwxmiHNpmMhCuPMZGTYgyRGATOsgtHt1jy8Q8+49/wgeNp5O3+iFKWaBegG7JuOHpockYZJ/ilkodw9BL0DQZrW3a77zD6MiSrNNXdbjfbP1dLW20Ed89DIKbAMCxmNXKKVxCCLjgtzFv7KnirTpD1QwzYElllYYJkEXyNkwwn+64X2Mx7nNZwlf1ajbpO5+PM3V/2Pbe36/k+HYBF1+CcYbvdcnuzxjlLXwMlVMCojNEJmoa+bdhsNizXG8ZpkmCWBH6QwOixGGlZY+l6MV07H48ScB3knqlOq1V1+j6s0ve9BGw0bjbh8t4TfBUwqXc0FO9TJC8akGmGS+o8X7kGYy1KGzBFzJU8OUVymlBZYxtxhqy7keA9bdfSGCuc+GFgqW2ZXTiGVGL2inI4ZxGG1WtACZ9x9jJwvz7+izDvXYipsqCUUjw8PMzJdVrrmSlVmVcPDw+/dm39rSjwIOQJhUAx1U/dqqpya/BxYjgfOB/33N1sePrkRujmTk7satlhFIRpIgB3908AOaFdJ2ZYKI3BzIVDkm6koDvnaF2k7aSLFasI6ZQ04MeJVOCa65u4RrbVz621nAvGGSqeePXh2lZw9MJcccYU10qFKhSyx8dHPnr2FGfXMA0cDgfC7Xrm60/TxN39DQ8PD8XeQLNY9BgjwdyDH1kulzzu90yPE8v1ihAC9/f3fPHll9zf34taNgaBEoKXaX8JNBmGAU1m0bX4caB1q3dYK+KPLfTCECIhGowVUViIly11Llj3FN71dCEricwLmqiLl0eWZKjJRzIaHyGExBgyh2EC26Bcy/b+KdodSLplSpmAA9MSMeIDXGGSDNMgM5HD4OfCKNRXwzCe50KsjZoN5WIqRdkoUo4S2aaVzDeCeJDnJPF6sbGE6VLYrwvatQ3FNWRRVZgoiarMGWLKxCwwjq4YLoVvra4sZePlvq1/p20sTeveod7aAuW1rUT4iZfNZfgrlMICc9TjypfQnRCFQnmtrq4f9bjqay7CSp4vlY0MXWGGU5QSqrF2FyfWjNAf5T1c8eivYOcKicysnBiJZdE0VuYRcq1k9iLmQYWFkwMxRXQU0zJcMw+xocTvjSMxi9ZkGgbW29vZnTOlNDPr5tSmeBkAK+q58O+wperr/cJej+faxrri+Ndsu+sh/V8bN0lQKMxsvGMUTNMgIqRirbvfHTk+vmLRGP7NP/zbaJV5fPkldzdbGpNpLMUgSfHxx5+QtazoPoyilCwd9mkc8VGk9W1jWa80zsLp1GINjOOKsfVMZ6ERTqcDMXr8MNIvZYt9Psugcnsj2aohTphywSc/cDiVgeiiny/eFCfaheCtrnWY4pGhsyIEz7nAPvtdpLGa//urr1A588MffMrzZ8/YH3bsD8zBINoonn/wrAy8xNRov9+zvV3SPrY8Pj7y9Nk90xho2pavv/6GTz79iB/8zg/4X/7n/5Xb21tevHiBc47D4TDjjHV3st/vaduWw+FA0zS0/YL19p7WitfN24c9nVM87gO90+RFi7YNyU8ifklwHgM5azGESlk8/rOa3ZSaKA9OSJ5QOMunUYKQY8FMfYocDhOrKbPse1Z3z3HLG1L/iA+J4zmSsMSQMLamMQX8OHA8j4SUmSYRFL1685bjeeA8TqRpeqeoNU3D/f09r169AmCz2cyD8NoqxuI91Hg348taRYJPGHN5ONVVIby2lq4PbMiyi/TJMxUbiBASyrrC0IjkBF2/REe5L6azDPPIEXJktV7gjKHvO5wz8zBwsehprBXPEyc22mcky9iV99U7yEaGrjEExrPg7qMPQniYJCMZKBRLNy8y4zjO581aSy5WDDXrYBZFXWHI7wiDEFIFUa5tSIVmnCXjFMpMRl+KYCUppCANiak2BKpQkY0uC0kSemTOs0YmM8lCgsLpzP2zJ9hjx+g9j6ejdOTHA13TsN4If/18PpFNZFG6+Xosw7CfCRm5BgKnaT726yHyL7NRrtkP5/OZ5XLJcrkU5X1ZHGS2IT9bxZa/zuu3pMBL+HQuHTOANYrGWlIOTD4xhUjbWG43W4IfyV6oazl5rBUqYt9cWBO74xmSnmmNUoiTqGMTaN3QWI3R0q0pSgRYCeOq3YPALpdw7TrwqhekXtRr5kDbdXOnJmAFM1NEutU8/9v5eCKkiC+dQM4JrzOb9Zq20LEeHh746IPP5w6gMoRevXqJc44PPvigsEmkaD15es9mu+bVm7diJOUcm82aFy9ecHt/z0cff8D5fJ67h+skHaUkyaYOvq4tFKZpojEtzopvtm4axmniOHqhqBlQ2ZCK18kQvBxblmP3MZWzK8WwTRdXviQNKsMUyVkyZOvWXGhkA2PIrOu2XFuUTiQlakofZVeRc5akq2nifFXgpyDD92mahKHCRYhTr18twvXYjTFCSc2udLyZmGoeZy2qipz9vBvI5T6u57J+XIvkcuXAF+pfLJ2sdoWtoQ26RBNZZYmlCNb3BGLBLIuTpXUXH6VaiKXAJFIAspEuurpSlkzQynyp93K95ytLhiL4i+VvZ305DuUcSmfidClu7w/Yr3cvsyMmenaxrKrxkFLZ1dVJtOzy5vOVL0rY6tR6/ft9lsBwOYayG0mRrDNi65vI+bLD7vueBMSdx0+TFPey06kNgtb5F65bPUfTNJFTOf/qXVipvr6PbFB1FPV5q+KpCr/N16Cc78Ph8Au/4y/7+q0o8FI8PEYrjDOQIpvVAqMd53HieDwTYuaj50/YrFbs3rxku11hnKZvG5Z9N3dhow989dVXROVwVrNarZj8QPCTcHGVTNhNo8Bo2kbhp4TTGZ0959OenBRvH14TvccoaJuGZd8yhUTbibufMdIdVYim3rCuscT3MEirLk6LOSeG8TxDAZZc8jrFqrftOobxJFJpIsf9kZM68X/87/8nKSW2NxueP3/O3/pbf5Pb21uMVez2D/gwsV6vWSwW+CA306pYGDzud+gR/vBf/wP+9M9+yieffsx3331Hu1zx+PjIw8MbPv/80+K4l+j7Dljhved4hIeH19w82fL69Wue/I2/SRxHYoBhjOjGsjsGjlPkqbmhiwVXDpnTBFNKHM4TMWemLGZkU/HmXulLIIqPlwU1ocRMVWMAACAASURBVOYOyFrLIWT244jZD7g3h0unrBRjEGWiSNUF1/XTQIxiCnUaRmKBjVSWjnqz2XB8fMtqdUnoapqGJ0/uORz2hTGTaNuO1i6ARFNyAQ67ffF66ckpsVqueXzc8X276bpYrJdLSRUqBWN3FgHL4DNTFCtbbc28aDirMBq61uEP0mVO40iKkc1qWUIoJoGJwkQ0GWsFv/XegzF4DSmJsCfFCWsNy0KxzTkKnTWnd5g+zjlMzuQpMQXP+XgEoGtbuq6TpLVSQHOZJdUCaEtxrNctZQn2dsVOwhXcvUI23ifOp5GQJEpQINoCS1mLsZZQFo/6LAm3voqnEJ/9GJl0CdpRSLA5SLat1eQsUOnoA2iD0YGusUxeYUg4DXdPnki3rmWGEXJA+TRbhl+zeWZluitNXJzm+cO1V02ta9cwSy3i+/1e2HDF4rs2UHWR9CVApAa9/zqv34oCH2ISZ8eCdVoNq+WCECKHk3RYSWmCH/nq6wd+97NP0DmyXq+52azR1jKFyP6wIxTlnFsu6PqON28foWxz9/s925vbYv2rsMayWihSEqrfOBlWy44UoP/sU1SSyb3RmrZ1TNNlu1jVn9dB2vUVazBzubjVB/7aO3zuyLLCWYMxJVz5cKBthfbolcIullgti5C1hmmIfPXzF7x988Dnv/MDFosFn/7gY1xjeXh4YLfbcTgKhPTk+TNW6w9wrx3b7ZZxGvjdH33OT//8Z/R9y9u3b7i7u4MU+fnPfsr9/T3Pnj3DLBcs+44zmdvthu12y/F8BuDLL7/ko2fPePu4Y7XoUauGZAwqJPJu4FYpphgIMcugNCsyLSEFdseBlGAq3fY5jxdOtaJwmAvDQtfuEUC45zFncoEOUih++ikTowh5GqNx2qLoxVO9k8Si8+jxMbExy0tXfX8r8YU5s16v5+H3/f39HHPYti0O6ar7Zct6veTNQyTHMGcIW63pGjeHehtrOZ7P9KslwzDMqlSVL8PCaSqJPVrhsiHqip1rFJlFJ6SCFEfOxxOHwwHXWBZdx+l05HQ+sugamsbO6UvXFMV3dwsFZmncXGzk6xc9R4VcuNo11flSzsIIGYZBjP0K8lKHyVUXME7DjNfXV+3c6w5JFmYREk4hCAyXRNNiQBwzjSNnVULPr3fRklcaQpl/YVFOtBBGVcVtgiDBJFoJpTNGxRQz590ZrUeebEQgt+oX/OCTT+b3apXmdDrNO9v1uv+Fjrw+s5XCmlIi+XedQuUwLj93vThYa4sOJ8yU6dq9V+Qhxogrxf+vEQbPPHhRKtM4h9Uany/DzJTSzD2tkv71+g6tDcPgZ0k02tAvV6im42F3wI8jy87OHiGbzYa2X3I6jxK0nGS76xrZut3cCBZ4OI4QkwxtkyeePMMwzVmq11u262MwxrAoFrPTOBUKqMMUL5OcouSD1sGWM6SYGMaRkFNJqcncbm9YdB3O2CJgkgdoGMbZ/vhP/uQnIooqQq76kb79dr6JmiaxXq8ZR6GNjt7zo7/xu/zkJz+Z4wrrjTSOI2/evME5x/39/SzAGoYBs1nRL5c8vHngdrXBD57OicjIJiUP1RDoGyXhzjEweSnKY1KMU5C83JjlISczlsi8GXZS7+ZQzhqELMZZmWKspS5ccqPE1iBRHRc1OVtUjrTNJSDdx8z+eCoPmsM1jra7MCBUEKOu5arHNaZ4vTe0qiOTMFaK2XK5JMZwKZbI+QvpYkhVswTC6fQOFj0LfuBinJUSCjFts0ajVaIt1r5DYRLVglGvaS2uRov/uLUyqL/uqAUuBFvgm2tlqYjRrvDqfBFoTdPE4XBmmAI5nGR+4EqqGQpTK/zV0FwphS6LDFc7Aq31O+KzWgZr/itUckW1dbgoeStr5lrUxBULxvuMpmQuaANJ8HmlkVAWxLtmDFF2jNh5VjW7hqp3hVa1gL8/Q5jPW0rvnKsYIyq9uwu6vnfrz9WPKh6rtWpmWZW/VUkArswZ/tooWUExBk9OCttJwIYfB2Ko4dWZx90BOs+Hz59zHid0VmjT8OrtW9pG6GKu68Q/w4rKVSFDiy+//prVouOzzz5DG3GfrOELb2JAGyVJ9zlwOuw4nAamQS5AW7ae5+OJU3lgl8slWiM8WX2R288uf2XL1XdXXX6M6LLdq1mUWinGk3T3gYxrGu5utuJPDpxPJ3724ltIEimmlGLysoO4e7LlRz/6XVLM/OlP/hyl4Okz6T7vnt4D8Gc/+ynTNPHhhx/jGsPd3S3ffPctx9OB3/u93+Of/rM/mTH3b775BqWUdOvHI1prbm5u2Gw2srCEwGa5YpcSr9684dPnHxBzJGTDlGSQmn1i0ImUMqH8TAiRKYjXRhwFjlBKY1GcJo8kD4liWc7jVLbpck6N1pwmhdXQaAVOkRVYJawTq8UILpIhy3ntmpbYSXc7eXnAUTLA996zXC7ZnSfu7u5k8H46zV2mFHDxOjLGcLO8wTnHbv8W6wz39/IzbddIBF2GftGyezzMi1VdsLqum7vr4MNc4Lq2JSuEMWQyphS2ZWdxVgzcYpiIk6hTl92Cw3HPOJ1J0bPdblmvOpTK9Iuu7HBdeVaqw6me2WF1flSHgVkFNAmyl/lUKDOLceI8DDw8HgkJOpfnTlJrXYaaF0dJMcaV17V8H97F32sBSymBMnNaWBIj+5mx0zRWGEQJQgyoMu+oRVWcXAsMpaTA1k5YaUArDAaVsuTupszJKxIG4xYkZfBhIkSPU5aULnMmmdF5UFkG1WWHrpSEdl83mt57YpB7qc3hHbfJ7yvy9bzUZgkuM4s6+wFmh9mhNJG/CbHTr1XglVI/BfaIX07IOf89pdQd8F8BnwM/Bf7jnPPbX/2bxEPdODObOvnJk8k0xjKVsI5m0+KKH0jXtbx5eGQcBhq7QpsG45qSGjMxTp4URsZROt7FYjFvh2SLasvFHclJ8FnKRR7HkfNJfjb1woTZ7/dUH/frFfkykGL+tzhKkVLWyXAryeAtyzehs8QUZsCpjGtbmSM0Dd1ygdGG169fczqIz4XOimbRFVn0SNs1HPYn/vRP/5T1Zsnnv/MZfd8JphkCrhde92olPObT6cTt7S13Hz9hDLLbefX6Jev1mtPpNN9gtdDlnDmdRDxVOcuH04FpmlgsFnNwSA4ZkYHXOLb68JkL9JLBZHAJGZojg7aYuTArstAE9VVH6UNEIRj8NCpwBmWhyZKYIwGg8dJBKoXVVv6eMdA0xKwwZsImGYDf3W7LQFfRlYCP2n3VgXMtSNeQR9/3jNNpplTOCs0o8FBdHCqVtDKSKs56TRGtOHQu4SBGydypFlLnjJzRGCAHVJZ80zpg7bslTdltQsGJEQOtOuOpzCBr9dy5X9+32iQhE2QJ0Kj38XXXKbYJl/ORUiLkhNO2PvylsNaO/rITuD7W2gDNg9J4gVxSlmZAdhvCg7dcdb1XQ1/KvVAtfVFyJ5XqUe4qSDkQoxTfmA1aO5RuxKogZKIRZ0tXHSMzczxiff/Xi1I9lnoO50F0GcKm+IsQzfXPXJMxrs9JHYgrJbh/tSGpdeV9/P6v+vpNdPD/Xs751dXn/wj4H3PO/5lS6h+Vz//TX/ULdE486w1N36JNiw8wVTMjmzmNDzy8/Zp/6w/+HiGc2WxvABh84HAeWGy2JCU27NYZDsc9x8e3vH37ls1mw2effYZzjv05XKbWZZBhHBAzm5sbYm4I//I7pkPk5TcvaS08aTOPr17yfN3yECVp6cn9rSRDhQk/DTx7JvL1x4ddoRRKNzV66fDbpkFry5uXrwTfWy5Rxcwo2oZ+uaRzDSkFpsOBN2/eQJR4MpsElhr3BzEYsxqVRnTQHF4f2L38lpc//zmbzYYf//jHbDYb/vwoc4sPP/0EGMFovv72DfHLF9zf3nJ4eCSfRp7eP+OrYWB/PHKz3vKw29G4lp///Od88oPPef1mx83NDUolVq7h9Ljng48+4ttvX/L6fMRZixoGtqahsxp9Hnk0kc26wyiNNWcMmVYjkvmYRMJdeNJNI8NYnzV+yiKQipmIBIikGBnGA6bdEH2m7RrWxYZAqcwwBNYb2e0cTmcUgUXbFiZWot92TJMmJCngY5tAtYzjyI11JcUKwk3H/nAmIoyOYRyZANs6cjjStT3bzYJhGFgu10whobKiad3sB7NYJcYgApe1FqaIbRpcMZ4DR9ICVYxkrNFMxcRsu2mYxjPbXmF1wk8jwZ+J44GukajJpzctzonhnLWW7XKFVXpO/BrxaCW8eGcty9ZiNXQ6ows+7nQpXgxzypfRlmYl4q5hkj6sLc6tq166WDnfGlSx7AXSzBC6DMqvXzlDzpppSkC1cIDzdOY0nAWOtYZI5DydsUrTNBobxYfFpcwxIwPYoEoMnnTuOoMpBdpZy+6E8N8jRC8QSNbCiOoWS7TWnM5CZzw7y3EvjcyiFbuQkGQwO05JLBSSpiHTFv8anwQqmxJEbcnOMGpFNopGB7KxRKXl+hppkCpkJbDPBXIydSdiJETIe0+YJnzOQgM1ktGblML/JVw/ftnr/w+I5j8E/t3y//8F8D/xFxR4pZhxwqlYZOrSXR2PR3a73Tud1Yx/pvjOFrLyZlOYiuXtms1mM2+raqdVTzxcuoUY340c22w29I3mzevXjOPAei0KzpubmzmTsWlEKv/q1SuUUqzXwos35He6ltNJsN9Kw6tGUs45XNcJtholgPfx8VEWHt4Vmeh08eO4DoOu9MW3b9/yxRdfsNls+NEf/GvYpuHh9Ruef/Sch/2Orus4TOPFT7zrePXqFdvtFq01x9O3aC1/f7PZzOd4vV7z8PCAaRRt284d/+PjI8+ePr3CJkvHrhUxJKIStaAqN3cICWUcbWOZfCxDtEvnJCyXYttKFgWn0ViTGSaPUpnoKewRGUYao4uzZqEBqku2rTaOppHOWBWLiXo+rdGEQsedyn1xe7Pm7D2jj+90WQHpjPuumY91hgvy5ZpYa4mlowbwIUm+Zvm3VLpiABUTUXmacg+ofLn/KbAByJA3WQk2qV7yOcYZ+qnnVgZ/uuTWSvB2vbenacJqGYoqY1HF90ZpTefaecBdudjWGNrWzbuA62ekHut8H151/N//XL/bxV7DN9fX/fr7r783RYnkS0kW1ClJ1mxSiewzSlURlGTPyk4wkRXSfLz3HlPxjrreWdTX9fuR8y/nRXyn3sXTlVIY1DuGZO/DM9ezufk4S92pCuQK7VRUoZ7v69/z675+3QKfgf9eCdn0P885/2Pgec75G4Cc8zdKqWff94NKqX8I/EOA5eZ+Hk4eB/Fmz8hN9+q77xiGgR/96EeCoY7neWsfQpDB10Kiv/aPb2c87cn9Lev1uhR1aFs3UxtDCPhpKIUf/JRmVzhrLa5rWQD7/SPHw5HtasF3373B3XzEZrORZCil6LpufjAqluecE7y9XPg6WAkh0NqSO1kYNV3X8fLhgeQDT57eM46e4+mAohZNyQ/NWTw+quCmblFzziwWCzabO7z3/OyLn5JS4u35zEeffMLt0yd0jx22kQm9QbHb7WitYbVacRx3+JAwtuGHP/whL1684HA4sNvtUErR90u+/vprWdT8CWscrx/ecrO94+W3r9ne3uKsJSCRadZZInD2Ubzip0SKAecaApnzMJLyhHY92lpMFP8Si0ZXnDMWfyAlQ7Omc4TeCe9bpRJnJqrTdtEQ/EC24neeMITi4KdSxBiZtSyLbNxPF2bCYS+4szWZdtGjtQOjOQ2D4PYxlGsn57kO5o6nga5toWRxVghEqSVtjKzXwp7ZHU5itaEVXdMRM/OAjRyIIXJ3s8U6Q4qezWKJMaJuleQpy2a7ErVvjFcEAwmCV1nCuZWWYOnWyXEZq7FKk6MnAk3bYG1VfFq01fTmpsBJmhQl0cpoy2q9ZNl3M2RRoZR6j1+rcet5nHMTfklRqoWvQg/z15Bchwo9WW3mBqze8+MU8F5Ecloxe+sAxOIZlKdMqoPVnDHGoo2i6aU7R4nzo+hMEiFk+mJ4Vt+XUkog1LLY5JzxZKYygM+ISC+LTBuHuEWqxDzLu9bGXDcCMyx3Nbyt98zpdJpzIIwxM3urBpn/soXzL/P6dQv8v5Nz/roU8f9BKfXP/1V/sCwG/xjg/oPPsy1p5K6xJUfVE6In5chy0bHerN4Z3NSO+PrkXkur26adL+C1EOnaGljis4qwxcsEXRcM9fFhz3AeabsFIWawblZ21gd+GIYyD+jm4akIcy5MhsrSqCKHnDNtGeAMw8DhUbrrvut4+VKES9HLsEdlwVZlvxsv6jkAVaf+UUypyvv23s+OkFmLgnJ5swWgWy7E7ncYAMVyvRaoKcZZIbvb7eYdz2ZjyNGTwlQGxfL3p2miX4kCb9nLg1KDFCpVUGvQNpEiDIMMPzOa0QfCdC47L/n3rDKZhMoyaLMksVHIUYq8c7StRamM0wltMtYqrFWcsiiflYJXj4dZDxFDYBzlOmlVglt0yYAFtquet48iWGmsISGFpi2xdW0S2mrbFIpgLp27ke69XmtdDNpaZ9H6UgStlu4vp4DWjXj5k/E5CuRRmFs1oNmZwgQxBms66biVYggX1oVVeqZdhipAK0XElB2MVRqlSzdafoeqeK8VRourQqecyfkSEEIyRCvzsLqjvWaOXBf28gz/yiJ0XTBrgU/lPPLeruAan67PZ8qKlCXxS2k9XztUfkdXELlARNrZubBTQuDDFcvl+u9cunXmY6zvJeZMVmKfkd7r7nMCnTU6gbKXzv37Frnr86bzJZrzeDzOqEK9Z3+VAvav+vq1CnzO+evy3++UUv8E+PvAt0qpD0v3/iHw3V/0e5RW3NyspaisFgC8ffuaMA20naPve0kf915c4Aqt7Mn97XwTDqcDp5NIrlP0jINwmuvFrIkyOcvvGcdRxEDLDqMUr9URRcRZUQcCokjNhjSNbG9uGaaJx8fHmaYIzENHreXhyznT2ssOAy6BzdrYueifz2fO5zOr9ZLtdsvpdGIazvLgJo+uw5vSstiZiVCGxEk6txgCL797Qdu23N3dsVossG3D7uEt54K9NrtHnjx5wu3tLe2ix/vIafT4pFmut6SUePXdC7qu4/Xr1zx//pwwTRiluNmusVbT216sT7XmeD6zXPWcxoF16DgHsEmsWXUZaCltcJ3F2IYXL74FQOsW0zQM54nhNKKTeBDKzQ/kSLtsaRuDazQmQ99LPqZWI40zbNbCYKpbbmcdKSvBQLPidBYGgtHikR7DRGczi76laYv3jMoo3dA1whiagsc1DVklXN/MzJu+cUTV0rdOWFlKYXQPZEwr2HgugrW+74sSM2B1YtF3hKLk3aykKE8jWMTbZrlc0RjhdbfOokojYqzGFt8Y7z0xilHbkzvxSbEFikxeHB908Q9aVWWtM6IWTkK5DTlhlUUbQ3aWpDXHKZJyxGrh4rfdgnE4CR1UKbQzZCec9CrgkeunZ6JBfZbgl0MK15BntRyoMMn1z8qCeGXGVhqhmBUhITi/E8w8RV+eIRmKu6Yh+RGjJTBFKJmGMUYMQmMVyE6EhI27wLTeXxgw0ftZ1ZxzZsyJtnbwhb4s35iYhmItkDXJfn8eLVx2NxXu0kZzOJ0YyuIcY0R7P0OiU9kx/aoF4y/7+ivzcJRSS6XUuv4/8B8A/y/w3wL/oHzbPwD+m7/wlxXmg1ClmlkQkFKaYQ1h1owzX7VySHPOkEKhLk3EMBWucCpdVCRHjzOKVPBbTSJMgwyhnJWuTUmWZc6JlIOEXgRP4zo2N7cMwzQX8krPappmDuSoi0jFgeuFvabN1dW8Fv66KLRNw+l8LNBUlC5MqZmZkIvsPOeL22PK8h6qInaaJh4f3/L4+JaHt2/ZPTzw5O6O3e4RStjv4XQiJoVxjooQ1i7CuBatL66Kx9OBx90Db968YbvdCie/UEZVzrMeIOSLGZS8Zyvio/JwaCsLdEyK/fFMiInlck2/XFOIJOR06cCmcSB6j1YZa8AZxXrZ4oy4HzZO0VqhtVoDjVNYK5390yd3rJb9rGgkR6bhJEU4Rxpn6JyidYbz4ZHVsmO7WaJVJIcJo+TvNSYLxEPGaBk6Cmyi5T5KicaV4Apdg8I1jTVoctl1CKedHEWhrYXqKV5LmdaZwtwSsVRKAVuKdJXyp5SwRgan/aLDNZZhOIvYJ8d5x9t3Dc7IwmCVmPUJ7KFlR9Q4lNGXrr2IynKGFMvOi0sB77qumJW1c6jKtRVC3S2/L/D7hcf6qvOtx3Nd9Evt+N7/B4mBnDnzhfWEroIp8bSJFcoEUHVRSO86fSICLWsuO5Dr91V3SL+sUNfvr//9vu9//5iuj/eaJ38NBddZzrWoqaITv6nXr9PBPwf+SbkoFvgvc87/nVLqfwP+a6XUfwJ8AfxHf9Evcs5idGax7IDINA0sesFNbbsuVDDxdP/hD38oPjVNIwXcFG75NMxd+t3NRtwS8yWZqXLPqz3nkydP5GIlz9Jpnt+taZ3l5Zs9KXlWyxaV15x2e06HwKLrqBztWsDP5/MMi1Sak1IKir91pdPpUtTjJN+XYRYYWatZrZecDnveHF6LuCpnoQymhFaJrDOkPDtc5kJvC9OI1prVesFqteL58+ey6JRQ4X/xx/8MrOP+2XNevnzJsw8/ZvJ7uranXSz59sUrWYiOp9lu+NNPP2X3+Jb9wyOLrqF1hj/+p3/EJ5//kBwCp8cd29t73hbbYXUjKtBFJ/CPMkb8+xOFbRLZ3tzTdgNff/NSdkCNxzjHzfoGH+W6Rj9KMbMND7sd5qanXXSioA2ZrmswGhojRU2b6u0h7JuoDPqk2XRrhmKeddMvMBpSODEczjTrJSpLgIjeOqzx6DbjexnoK5vJKqFCQncCPe28p3GOVe8YvcYsOmKSh7VvHVNxJm1dcTJMCdc7jseBu82K43mQBcPAatHQWHCthJ4rpXDa4TQYI+rVnDM+eHFU1ZZuK7bNtgqM+qYoH/t54VYqk7PHGAsIvq+1xbZCMX48n4mJuUAuFy1GaUIQE7LOWkyjUErcM8mRRJwx4TqsrV145fhfF+z3BX/XeHSdQ6WUwOi5INaBrTFGBH2U9KnSVWvEIE3mB8whQBMiiFTANI5oPFpLxJ9QUJEAGRTj6UxOgb6z6BzLonmBma6HxtfQrc2Xz6u6ujZrFU6RxsTP9OHapF7j7/VYQwhEErdP7ue5w7ZYG4ScREVc8p9/E/TI+vorF/ic858Bf/d7vv4a+Pf/Mr+rnjynNUO5keoQxLbNzBRZLjra5pJ4fvmjccbANUn427XbRJgFIWeC95hSdKuBUtM4pphYdJacO7ZLSUl/MIK3eu/x44jVmilPbDabix9FcYZ7f4J+fVGl2xP8/pyPsvrHC1PCGFMk4JdVWyuBYMT6VL42D4Q0qCQWx5UhBIKLn85HEXHYhnbRsdisefUgCU6mE3pg2y0ka1NbXCNMmraxtGU3UgdArhHb4vu7W968fkXrHJPxLPqeoSwIYZpEkdvIfKFtTEmyQXDyXMVKuYRktByOJyZ/pO17lq6lMQ6jLT6NIvZqO6xVHI4nXGOwyD3Rdc2lIFjBzZ1zeBOxSTI4QzakpOltW5gXUeC8poUUaAp3OfozVjeC52tFYyEkhbWgjYSJ59EDmXz1oJti52ytYMMA1sJUtvVagTMa7ezsS+S9oWscaEOYRhorLJ5q36uyUPOqjwkpzYlhTdOgrXxeu2alRa2pE/gcmbzcmx4vfHAlqtqsAjpo9ueB8zhijGOxXBYIxKKMwFhKleKWRYWaNTjdoo2ibaSID8Mgz4H3c9JZvc/f7+Tf78ir4vNasn/dDf8yJgs5C9dcZ2yZLVij8CnPxb2Kk1ot6mCUQmfp7rWCHAsLJovVby47rWta5/d1y0IN5fKReed7dfHKEfGy/973fw1BXTPe6n8r9l5Zg9ev35YO/jf2MkajNTSNZbd7YPITxkhn7xpbOubIs2fPWCwWxcddToKzmv1ZFgWNDDxXqxUpygAyBFH3yVAs0vc9fd/z+PgoEJCWArHpGrq25+MPbuh6y/5hT/KG58/uiVNkOJ0ZgxiW1RW8imNqMT8Xv5beXcQtIYTZw7or1Ch1dXP1rcOHUbBPrVE5EaMUd/HCETe8sWD+14Oi01nUk41qCNHPsNYPfvgxGMvr/ZHPPvsBb/d7No3j2+9ecf/sKU27IEwDi9UG8/Ytp/M4L5ovXrzg/u4GZxTLRc/Dmzf8wd/5MT/9sz/n937/x7TG8PLVWz64u5eZRwgs3EKS6ANoFCoZskrC2tAaTcY2lo8/fM5iseBnX/yc3ZsjLqyhdIMg4egvXr5lu1lyt33CYTix6FqcteA6lDWMMWAmzXrR0jSGrqRmKTStVYAm5yU5h0vXCGgkLk4pxX6/p2sTSke0TSw7g48JlCxsBivxbSHJYK/AO0ZDLvTMhMYagea6LHi/MQh0ZC2kgLMOtYj0ZTfqRwO2isAuC4E2EkYRUwKlZigs54yzl2xPcTwNTIOoqqcyJ5EAa01GTLW894xecOzTMNI2PX3rWLZy/Cp5tM7YkkuM0TgMxvQofckRPRxE3Pb69ev53r4WdQHvFPjrrrV+ve6qr7HlOgCuZez9BSOEACnTWYPPcswqa2IcCVcQniJjcqIrugiDQguHGIwug2nZ7TUklHoXJhpLbsPcTF5BJa4I9LQwd2VIHgIhJ5S2ZCNN47oQJuq5qL/zWglbj20KF4g15owvbLv5e8qH/s2xJH87CjwIPpZkyZUQCl3Cc5Xgza6o8pQSLLMOQ1LBgFWOc9hwLbj1Zqs3WN1izT7fgIoBQyYqi0WxXDTEvGKzWnDYH5n8BBm6pkEv7Dt8euEf23e6k5QSuQxZ64Pgy1ClKdvQqqCs27F68wshS16qPATiUiWSfKiDK7lRNsUk63Q6cj4lrDakvuerr77i2QcfcHO74TwF7u5viUoUc93xMyZ2TwAAIABJREFUSNevUEqGdca15HHkfD7jrHigiI/OyNMn93zxsz9n83LN+XDk8fVr+sWC50+f8uqtcP+n84BSWxQSXuKTxJNRove0Kh7wwdO1HXc3G96+WfOYd6QknZ1rW2zjSGQeH/ecz2c26x+gTMtxCHSrhsmneVscYg2AUBgLKNA6011CmsjZYJWdobIQAuSIcw032zUxerKS3V1sJL4vZSVdv4bWNSjl0V68Yqwt/HbvSUrhnLkItqxB0Yq/eoxoWzt4MeLSRpGTwrmy68x69o7JWcAEjdg71MW7Ng+qDCVVFofGmg6llJzvrusEM+9k95QYMMpgkfCMZadZLFa4VgLrc0q0nfjXVAaIUhJGI4Zv4Gty0ePjDMtQ/m59Bq+l9nXudA1J1EHsNVYt1+X7n/+5q64dcEqFFhmgzJyI8rmSLEip40pmQjoWdW6ZRYSsIEpnb5VGkXBKU/vlurOo5/k6dSvHiM6XDv79tzwrt7mwi97fxV+/5o5eXY61fv39RQB+MxYF9fVbU+CbphG/8dIdNxSZerhEYEU/ksI0G+XvHt+Kki9Kd7ter1kul0yjKPVqsa/4e8XI9vv9fJNCENUliUjmdruUcGcvVsM/+eOfst8dCKOoZrfb7fyeV6vVO3jb9YKSc4nqaxps4d9XK4A6BKsLxDsB3yB7y/LKVzc8gDYKSrjI4XB4Z8u53+9l8DqO/OznP+f3//AP2d49wVvLcrniu7c7Xr1+wLWyVccLCyiFiXE4icCoMEZub29mJfAf/dEf8W//3b/Pd9+8YPvkHtdKqMRqteJ83HE6HtFkWrMsYQ4KtEJnsfFt21ZYChka2/HJpx/z5PyE004yP4/DiHWOrl+KVbFKfP3tK1aLnq51PO7PjOPI3WbF4qZDKUnqUlg6fdkt9e7dByMYKcopg132TCHNdFXrFMwQkmVykXGU4GtnDP2m5XwaMaN4h3Rtw6RKlOPV4jz6ONN1xaAxi8Nk17Jer6QDx0ilWCzmBQfkGFKxOpDtume66v5WqxUxHVBKZk0oTYqaTreYIg683IMeFQLTVANMOsiKru1ZLFZSTJIYs7UrmU1lpchJDL/8JNdB/MrlmVuVIWvf9+8kYtXiXe/P9+//+u9VZftLh5YVdnwPphEqYmLwI8mHor41OKsJVskuseDVUSO2wlGByeS2QVlHLri/JaKskC00F1HkNZQiMxQ3X8cpRlkYyttOSCdvGoeOgZgUQUEuC9s1zbNCbe9j8ALN+vnvv2+HAFfiRfXXrsAnkt9DTrQmEZVwYLvW8fDmDf1SvMm7paUzmoWz4Cc66/B5YPQJlTWNbSEptHYoEwmphNZqiv81kMA29rLlXKzKttCjVeKmMSRtMR+1rLs7vvry5+zOCZ8t/dgSDhKBl1JiOIw0XUfTSqc2jCNKafr2kl5TlWtd17GbJnwqW8IyLffnE2E4s3v7mkXXcNiPGMXMfY9JePBayzY/+kgmonVGK0tjtARrTBNda+k7h1l1rFnyxU9/yoeD57Pf/T0MDW8mBJO9jSijcVHTuAate1TyQgVrNQrFMBS82DV89smnjPHMctOw3Xa0bYMfE631tJue8+FI13UMQyRphXKWMWZ8VnSdY/JC17Ao0BNdkzAKToNjCp6xmJa1WnHYnXBG0/VrfAhYC7uoGJLinEaS69ksO5JVjAPcGkvfaHRO+PSuh0cK09wcQKBtQOeJpimTOPQFB1cJYsBrOTcpB7o+8WEMDONEShlrNQcjePU0TbRty6JRxDiQQiS4nr5foDNYFVEh0iiNR2h2phEzrLW2wmKaRoLJOI0wvWzJGY0Z2zQoNClojHGF2x5BR3ycWLYN2oBOY/FQSgRfRGKuKyHZQnVURgyzRu+FrRO3hKSYUnFrVVG8kWLE6Mx24cgxkbKQAw6nM7v9nnH0UuyUwTQCa2hl0UpjlSdlCKHMw0IkogqHXB5DBcTCICFnshdaYnMVpRe1YlKQjWI4GcbzwGqh0arGeFq8VrLzzHA+ePqcSdELBZKBHEdUyjgzCWyVEz5lphTZaoP3IypnFr3jcBgxTmNaTbaKMSeCswTt8NoA1YpYCr4ThgSqQElTeZ7fZ8y9P5+w85xGni+yLK6yUNU6KNcpcFkof93Xb0WBrywXYb04SJHoRWHnnEOXTVKVaF9zyasDG1yc864HKNcdRNu2HI/HeYh7LSyQjiaRtBW4wTYsl/DjH/+Y+6dv+b/+n39O23Ucz+IZrQprJhUsr2ka7u7u5IHxp/kC1bU4pjQnJe13e/GsaVty3ZInSFWElYSPnLVB6cqmKTdNDuQkk35VYs2cc3R9w+kk3uE3OXGzvWPZ9XzzzTfoZsnHn33Ohx9+iHr9hi+//JLleo3LjrvbG2zboAbDNJx58/ZE22juNuti9OUZhpHldOb29pbD/gE/tdzdbnj55hXr9VoKvh9RdFhlGI6HWZkXJ18eAEfwkWHYzTub1Uq6+/S443A6k5N0PYfDgcmp2Yd8tVzzuvj6j8cH7rYrmk+eQGvxUcMY6Zwuu5vLS4K3pXMFeXxQlXtd8BytsTmhU0IvWw6DRLxpEmhmZtRhEN1AYwV/H8aJthHqrh/PBVcVaqJVWjD12t1lyYqt3HRsI34rzoHWmIIBozPWSD5thWmapoEsSVIgMMJ6eSP8RiXwUYyRPIy4vqe7vS12GLXQBk6HAyHlufg8PrwBrYmUnaKlqDQDpMjJj0TvORz2MwPGpyjmakmGwh2dRBMacQie8kVjUnH06062fi0Xi+j3n//6vMoluWawXAonCKUzhIA2Mrhu2xY9nPGxYNoqCNxEHYJbuZYpzqHbFXKqO6dUiq0Mm5XAo+8MSi8WB8BMl64svQqZXRf174Nuvs/S4Ptef+2GrNd2nNYowRtDYJgktUbpTN82uEZuqIxsd0KcSDmUwOoSxGuki4BfLPAVc6sXSzjtFwmx1oqikYNikLRcLVgPnpvtGn+c0KOWGymLJelqteJUIKFKl3xfxl3hlbqt7/t+Dg5ZLaXIK6XKVB60dajyyQUXvIgf5IHJxOghJqwyGMwspx9OJ6auY7Pe0mXFw+Mblg83PPl4I4lY56kMfQI+yPmTh6KElSgjoh2hWKCtZTieOBrLYtnTtw0xRxprOR12bNcf0lhRby4XHQ/TQJgGotW4ruVcBtOubYEGP0ViGCX1x5hCg51mGE0ZSwwBnyY0mdPxzPNnTyC17PaPaBJvVg2rvmHZWrAUqf67Lp/aKGFAqArFlPtNQfWFkWtSttNJOOQBkcerJLm9MTrU4FHIUD9lxTlFYvBloOrm4VoIAazFlI5TKTWDuCmJo2hKoIyWc1vuxfmh1qqoWC9FJack9gNG4azw0lPwQCSVwrXsBI7MITKGIG6VWTQUUoAS4yDvsa07SA1ZK0yUHYvJMsjNWXZczurC6JLs4KRzsWVW5BJIfvF2v+Th1gbsmvJ36Uh/sXhdd6q/wG4xMq+oF++6sxVhl0MFM1OTc1FTU2ZWWstiWxW070NGulBT0/y5/oUCfF0/3n+v7/va1AJfj7t+/Vfh8++/rlk+v+7rt6LAc2XOFcOI9+JhYsgsF+KN8fTpHU3DLDSaruiUcEmPyWX7rMx79p5lyHiNf1UMHMoDpbS4oiiNRiiVqTB2PvzoA1598wYfI1MRWoXjkf3pyN3d3RzqnVKi7+z8nmrnosrNPw2DvIdGvn/0gXHyYoMcghRtJKkoFRFM9cMwiJBIZYFpLBZsZjwfOR8Dq/WSzWqJKQvIN998w9PnH6JR/Pm//FOCaehXazbbtXiRW81+ONM68ZNJRjONkePuiPcjN7dbnt7f0i0bGHZAQqnE6bTn6dMn9I3hZ1/8lMPuLavViseH78jnjtViQXaW3f6B/UPm0x98Jh3W6CGLjDyGLP7bGFaLBTHJA7zfB9q+J00jaUwoA+TMi29f0ncNT29v8NHzsy9fsF40KBLLviWxYrusA0CF0bpI2imDewVFqQmZXAq8RmOMPKhxkji3rAzDNDEOEaNh0RrOZyXpW84w+oTOnuF04P7+HtU1vH37lqgsk09igtfKPaCVLnAbs2X02XtszmTEoTEpGaDWBUDritNqcrrsME0hGKR88XQxSkyvCAFXBGshBA6HAz7Ks1ATvmSHa2ibkrJkNVlnrDN03RajRGRnVS5ivh0xit7jcDwyjZ7jcMZPET+dSUWUlVKa7QKuGTW1470uqrPfDJe0o9r114JZaZWpPEPVQryW1qzEdkG67wy5YwinUj+CLJyqwG9JqJYy91LidaRsgVSDWDIo8HFCKVPgo0jO14KjPNeVGONsB11ts39VZ34tXPpVi8f3VsXfQJH/rSjwcvPZQjUUzm310rbWsvdntuseHQYkPFc+jBFOu3TOwjiQ4j/SdM38u2snVRcBYC7uxjVz55FjRlsNWBFa6cDNRrZ+X379Nf1mzXEaieM432BVPGWM4e7urlz8gv0bGQaZnOe/Z63lWPxsrLWM3nMeR/quf4d50C2XmJk2GRmGkZxBO4Muao7hvJ+PRavMcb/nfDqwffqMu9tbHh+P/Muf/At+9Pt/m9vbW8I0MpzFlAuVC06a0EaVhUui7R73B16/esXhNLBZb1mvl2w7Gep+9vmnjOPI/vGR5WrB3/nx7/P1Vz9H55ZPP3xGGkaMAeM6ln3P8TTykz/5E5bLDdvbOybvQZt5QZymE8q0AreFiLWu2Eg4VMqczydOxzPr1YLjEAjfvmK9WrC63zLGiS++fsmybxkDDGcpIJtVuXdKmHpjDVmBxqAKvTbCPGStTKXFosN7yfDsnaHRDfvTgMbQNwLNhCS2rp3TxcL2BMpgm46gHHHy+BhpyrA1pGKRTJahpoKYC53UmqJpsCiVaDs9szsodhw5VHYK+JwJOYqzZelMtZPEL9uVEPfzmWmUiMrGaoiWD54/Fay7lWwDZ8ucwooNr4SDKDIBg6I10v1btZzZImNJM3vx3StOpxOvXr2Z36tXkeAvnep1E3Xd9dYh5LUgqD6b18/pNUSD1qiSWJUFR5mf49rZm4KBpyS+M6rsgnKWa4UBa8XQbBwmjLaEBLv9iVDsCXzxW+qLKSHtL6Yp1QF9THk+jnxFiHh/2Hxd+K9hm3/VmvjXpsArpcgxEqYJUhTTKWvoe3FrvNmsZUsaxSr1iy++wFo72/PW6XfNO+y6bla4XsM0TXEVVAX/NMZwvvLU0NpgTQPaMAa5MV1jud1u+d0ffs4f/8mLmaJXcxmnaZqZDNULp1+6YlwlE/WzvyhbjVKs1mvhaMco0YEnYWr0bctqs2E4nXBGbpLj4TQvTt5PqJTFhzyKLYIPI9GPs1ReKTXH8223W5arDT//4gs++UyzefoBj7sdm2fP0CEx+sjxeCLHyGrRkWPkHHeQFdZIoX142NE0Hd3dgqZtmSYRe337zdc86e9pneS9ej9yOhy436w5D2JRu1hvsW4kJknskmzRHoUwSGxjSMnysNsDdp6ntG3LYb8jRC8D9umSe5uVYRg9D4971ouGpl8TcuRwPLFqOyY/EnOmK0HpWpWiEQX+y0oV24pc9BcalRS+Koe1xikpEEZD20qR6tuGhGLwmfVCMUyB8zAV8ZEuge+KkDKNMex3B549e8bp8RHjnNhsaDXjwynJR84XRkctAqb4m0x+oDV1VyLPisnS8RqthFRb5gtNUa1WSrAug9Xlqsc24lhIETbVgpNCLrz3wv5xCqV0gXgSrb105HVuEnNmmrbY8rw9vH1EBck9vR5wV6jsgmNfFoD3m67rf6//r7VmiiOaS+BHZeVYa0sIijRDrkA153GaF8cYpHFJqoSqlE46TBPaiV4CZTBGAwpT1KohhJkqrJRoE2o4yAURuFj8mu4SqHKNCNS/N9+3Vxj+dU36voL/mxiu1tdvRYGvr5QSPoz0TctqIXS4biUimDAesUZzOh9pu0Jn8iNd182JRLnwY3VhOszB1gXHrjdOvclEPiz8VKvkRhsmDynhQ6YxDTmeGcYTOXt++KMfoa3lxYsX5BgZSlpUV7Zs9W9d835B6FXKGuIkTBWtxFsdwLYti9UKP44k4Ob2jvX2hsfXrzgdjyxXq0I5OxUZdiQNwqwZpzO5iCdEmA3kzDScOWrNcrHCWUn/+frrr4m2ZX17z/7xkaw105hprCVOHr3oaF1DoxucdgznAY/m9XevmM4jd4vPuL+/59WbB3a7Ix9++AHjFBiGU1nsLAo4DJJ5GbLicDrRNj3PP/oA7z3ffvua/f4NKRcx0KiIRcTz5vGhdLimxOVprO14PBzxSXHan2mdwa16MUqbdhzPLca1dI3l4ZTw/kGEbkGxVxPDFOm7lj4Jdl5nHTFdMNX64LXO4lPECBVb5kJKseolXFuXbXpjDTFT4hwNxzFwPI8kzpyyw1nLaRxYuGb23h+DF+jFikPllCTZiJTE9EtZUk601hCLTbExirZ1EPKcwVp52UZbTPG1QWV0hsfdTgqGVbSuxRgZ4I7DRKixckHoCkdfGh8l4SqURbCxwhnvS+BH1LJYHIczw7kIlsquR6Fpm46uGxn89P+R9yaxlm3pnddvdbs57W2je02+TDeUcdqWJVNMkRiBkGoEEiNASDWBOTVjWlMkJKQaIKgJzQwGzJAQE4xAiAEGbGemM9970ce999zT7W41DL619zkR79nOstNSqjhSKCLOvXHjnH32+ta3/t+/oeBjv5lPY+zGdTcWvvPnPqUUjl5T4+kh5N+1E4+qQIJ8EkwpgVGUdQ3aMMQus3vyfAOBxvqmFVWsVhIIHyR5zFrHoT0ItbWsMXjUWbLY9z3ON6fRHdJNp4j40Rzo+97fpzXv7/Lxa1Pgx6FjYaQzdlYulrMnj4qU1EcWm+MCGoUWHwsqTrvkpwV+/HqMohwchR4kTfBi8WpwJCWFyFmFDwPbZo8pHJeXl8Jrzzz080Dj5AOqtFPBz18ATgKnEZMHKMsK5yyhklnDsW2Z1zXLzLeXTSNOo6kQAkOMFOZsgDyakjEuKhnCee8xVlOXBdYJlqqLA/Oyosp2x33TUjrHcX8QR0OtMVoz9AGVOrpDi46K3b6hmrVU9QKtIh/u7njy9BadDH5o6LqBrmt48uQZSVtSlM80oqlmcqS+ub2iOootcts0dCGhjMUW4mPjI2hTikXz0DGEwGq55qgPbIeB3kdCTBRFhW97mrbj/uGR5WLGzdUFIWl6n+gDaKVohkBSPUqVGc+VrjYhC328vhPLQUQImWkDOsfDacSALCSFKCYtzhoqNMcxzzNGugF0Zeg7T2EK+s7Lxu49KI3CTGyasQjKyW7sDMej/amjNWq0Ax4L6ziAy9+bhI5riswe8wIHDSEQvCekgMtaAT/EjD33cs8oRVSimnbOioJaJ3wQx8suDvgh0Bxbtvs9XTdwbBoUcs8nrWi7AZ+9b87f1ygsHB/nnfw5ZHPOqBnX5AhTiqrz487+Ow8tw+qisEQUrs8dczytu5QSYfDiZ2MKoh89fOw0DxqV48rI5/3pyWMs2rJxneIZJ6fYs7ry6fv99H1/WqP+Lh+/FgU+hMDDwwP1rORifYHLiT1WnKIAKC10/nTkG428iqKYbqrzCzfums65SaJ+XvTHzSDJappwTuGnJnrf00dYzGts6fAxsnsnzJNjJ5YAyhgZ5iFHskUtua+D6qfXQcoKRSCqhCkc8/l8ErOMQRA6s1Wa/Z4P9/c8vb2lLEtefvMNwyBMlwB54XYkLyKlMPT4Vkhho2dG0zcSJt0cKJzn+ukX3D9u6dqGPsLq9gnz+ZwUHa9fvcJp6I89OsGsmmGSYtgf6JqWx7sNB7vnFxc1fYDr6zVWK1bLmr/4+bfc3lwwr4SmeXl5SRcUKajsTy/Mjk22hajrmqvLFfOZbC5v7rZstju64cDl5SURzTffvhLNQ3av3Gx6VvMFNzc3APj2QNv1FLYCDT5p2iHxuG+5vqjFB2eAuixoPXR9T4ziLhlSidXiCKkLJd4tGfIY7ymTi6s2cj+EIUpoRym+Qz5EkopUToRHdV0zRE3TB3wf6DPkN4Yru+TwIaDHjAPvSUkTyfYZWb2tgT4JtCJmWBHvA6WbTRDNuAFZa3EKKUq529RW1kGkJ/pEF/rcpRtC39MHP1GEV/UVKDN5yQYV8K2n13ISbNtWNpRwxHv5d4+PIqLr/JA9/AXGkzmUPgVXn6nEv2/Ieu4EW1XVxCCaSBZBwk36vgc7/0g1HkbVqTFC7UWTss6k93J6Hk0Gj4eGkNO5SJnKbDWz5YxjL+8houj7gWPbiZLYe6w1GK2+01mfD1mtsxPEe070OB8wn7/v8/d3/vP+qhPCr+rxa1Hgx+Da8cM8L859e0QRMUUhrJKs/BxZAee7+nhDTd2POXlMjxftvMs/7+jl7xqlpHsxBhzQRzF7qmcVq5Vjs9lwODtmeu/FxMxImru1Fje3p9dx9uFeLhZynNOn19N042Ygr8FkKfhut2Mxm1HkSL/p+Je79BACi8UMrxWha6cfIP+XYMnRe45DYNY0rFYr3mx2qDBwd3dHNZ8J1m417fHIermUNPq2RSdYzBaopPBdT/CRh82O2WLBer0i6khzFOOypmkY+g6r4XDUmHpFrTRJRTBnfGAtkFKIA2VRMJ9XXCULRvP23QZbVWilubi+4u7DPdvtdkrL2e12DENFURi0tvihI4aAUcJXH70/tvuGwmU2lRqo0RS5ywxB0pWClUxNo2TxJ81pIJcCOn18D433VeFEoBKitPfWWnQI0smXjs4nnNOkfA+MxWi0hh61HmMRCCMOngt0ICvZo/xZGtPzDvfUvIyvN0tnP2pYYkpE5PMPJIjQ9C0hnNxNVe7oE+CTx/sgXvAoVI6yDnmYLNRPKdydH+jaQQI0ksIYTx/G6MuPIYhxwPopTDH5oH8PPHNOFz2HQc4hVWDybYpntsp93xOTonD1d37GeUd+XiNiiJNqV6lTvVBnzeL4c8bX96kPz7hZjSfBT5ky31esz5/7/wUGH7zns2ux773IIbk2J+v0qcPHhE0GZyJ+6KjLApWE/6slc4XCarpmyDurpu0985l0PyHv8kop+jMefIwRh3RqPgZ8DIQkXbWpZlgFXSvUxZREhLK6mNMNPU3TsDscKGcVbXNgCD2l0ZS1ZvbkkrooM6PG4PuBoe0Z8vDz3eaBwgpVrT9sadoDLhtzdfsdfdOQ+iPt9oHPX7zgVexptwfwA3Nj6byn63oGK4PcwRUChyQjaz7joQqNivDNT3/Gs+cv8E2P6j1hfuThzVuqz25oH3oetxts6XAoXILjdst8XnFzveLlt1/LDCKu2Nzf0TdHrq4vmP/gSyLQDJH9/QZrLV98+RnNruOwExYH2qKtxRUlPibKukYNCn+QghxioJiteP7ZnJcvX7LfH5jNZvz2l894//49u92OQmtsamkeNzwOftr454sVjQ8cBk3atbx8+MDvvqizZiAxrytKNWfQcjwPFvADxnqqoqQzsmmPm38iog2EXoIwxoF85QyJgIoG4xRWydwm+kipEiY2zMrIykbUfU/IgpnBKIyODD4yDDLTKasZu+OOqp6Twpg5Cochh8IkSbKqC8F0bdLoIREJdGNEnZaIOvFISaTBE4Nn5kKGSAZMEutZgGZoqYlop1GVzH1CkhNL27aolFhWFUqdWGGjc6RKihgSTd9xCJEBzS6fdkgK7QM2a06CFm69sXVOX1L0bUNtI9Yp5jZRWsVDazHa4ozGiaPFGWSpSUozxIIuJmo1UFqHJg8xfRYsWUetE8l7YndAKY/uerGqnhUErdCNOIUGnaZAmDYqdB+IWqNsojvuaLsOkqea16iqEAsC7bgqKmJIKK0ZSHQo7KyGocBoTdcJ4WE/16h+IPSeWVEyN07ozElCzWWonvAEsfw+6+7P+fLnm2NK3wNF/Q0fvxYFXuuT6gz4zm5+vut++gtOE+zzAep5Zz7+rLF7GHF5ay3+7MIaFAHB5fuhlSGMNqSiYIVmN4DdaDFAgslT5sWLF8zrivWikhs2H9/6vod4GjKNIqfkI8f9QaCZ/CGP3cHIyImhn+xELy4ueLN9yIVIrlNHHhJ+oqQ7vy46MSXRHA4HLq+f8HgQLUB7bOg2O9arC0yA3eMjpXUsywrjHHf3H9gZy83tFXDFY3Ngt4tcX4tHzeV6xWq95ObqkvVqQdsdeXh4YFEtcUZShcjMhMEPIswaeiJwPDYy2KzcNKhar9c4V3B3d4cfIk+fPmW1WvHnf/7nLGcFVVVjnaibu97T3d9jjGF9eQ35WhwOR6w1FIUU7dJZCqcpLAK9KTH96oaeFMF0ButyMIkZvWkC5/2TzDiEqz7dd/kzEFVnwEQJYS5L4aDHpETqP+HRkUTCpZPt7zlUON0jBtCayOmzlDNbFhdlo8Sx41RJZXhRA+HsRHqiGTpbYPRpbURAZSM4O3qzxyD3fCfFepyHdfsNPnwcczltiHHyzjr9v0pol+psDeen+bRR/ZQyOF6LEE5D1hjPTsKM7+1sQJ5nGD75TPuUOcCoqRhrw2gkppWdUq58+NjGWGHEc1+l777Y/BrKssRosXU4tEeSD+hyjs5wWzCWlGw2hcv5AL/E4+8Sh/+1KPA2F8Tlcj4VqskrWSWcdfkGPRXCsWCOPvCCn9kJFytLYd+MxX2kDo7/blqswYNWFNoQFPgExBFvixxbudna3hNDzXpZUldfkNAMMeFcydCPyUqgjWEYWmHK5C7Qd57e9/hhIOTXOi04Lwu5y9xlUmA2m7HbisNjjJEnT264vr1l9/jIu3fvsruhpes6McYaHTR7oRmqUdEZZVCldOLh4Z7V7RMuVku2mweq+YwnxQuapmG9uiIV4mezfXyUolg6nFEoLUOvP/z9H1MUBW/fvWG5qEmxZ7u5x3c7rq4vuVjMBTe3hQyrQ6AdekJWEB59x+b+IP4tM5H/P2S3wuOhyRoBx9OnTwmmUbz/AAAgAElEQVQ+TQP03//932e/3/PNN9+QUuL68poQAi9fvhTO+3KeLSAUXhmcLemjpdsexdrZGq4u1pSF4epigdaK2A4Em+gGCa0eBUB1VaB0mmhwSimGXFCsyarPwiEIeUSZSBcU2gbUELhcF+z3e7ohEFtPCoPg6X2k7zuMkw76cDjIZ5+ExWJGf1ilhDuf2V/WOI6jn5JBYJEMOZVG/NGtMSilMVZ+xuhg2eefoc9gslFlmtJA8AOEgeA928NBgrfzupi+L4ja+Hxzm+iGMXzUdQrl1EyWGmM+gLMap+UaxfSx/cC41scNz3uhnh4OB9q+x2bVrlyak9p8hH8mlW6yVGWJj5H97kjSYnOhkhLrcS1GdkopjsHTDwNtL4QG73OmcSYXiNvFCXIBCD5TWNEoFWmOLY+PjwBcXM4BTd95vPWkVNH5nsJYmRFk04QstfjO49OhrFyPf84weK0ECx6VqCNt6xz3gsh5Vz/ecOeCibFrH2+gCe/MO/WI1Z5zVJVO0glpUYpapYlGuNJaa6qkGbIwpNknSqvxw0Db9zxsD4Jn54GgMxKgPF/NCeYUm+ZqR2Etre7olaIxjQT6piQ+78lTVqVYAqeQLXgV+1YM0T7c3fHkck1KiTdv3uTBXMYlY6Q0xRQErZTI89W0+MZFqXn16hVffvUj3j48sFjOxLip8WinWMxmxKJAe89+t8GZyHyxYrWaURjL9lHUqs+fPuHNmzd8CMK9b+sSo6HLvu0KcypeKWGMY7leUxhLpzp86PFb2TRdXU33QNd19L0I3KqqZrPZSKj3fM768or9URwlQ1JEND/84Q857Le8evkt8/mcm5sb2k6ClouqIkWN9z19H7D2QF3KQL4qHFpbtJFZS0oJn7u43ntcttAdguTgRk4D+POOU+kxuEG47ENIk4/3OBtIKWGdhIun1E+nx+h9ltN/3C3K4C9K2Es+cTJi7UqjdEQFTUhRjvFJY5SW/1eduToCNimSTmJd9clasdm+OPgk1gTRM59VE0Qzxsp1YxKeUtO1glO3Le6U592ueCXJmo4YY8n0e3k/6URL/XQQOf2Es4I/soyE7Za9nfTHvjXOOYqcxToGkYOWz1hHfEA8/bXOGyoMpGytLKc6nbH8HNUlYSHygZOSog9+2nSHYaDJeptxfU92BfneHyMX5eL99R36p0X+V/n4tSjwKSUWi0UuDLIrj5x257KCjZNhz7n/+piIMnbvIYuhUs41HVkA5wZjwDQAqq3LhVIwzboqQFmWixIfIg+7Pc0x0fRHYh847PbsGrEM1WiWqwWPm+3EmqgKx+G4lci1lDBaLF0BZuWM+XxGUYi0ves6HAu6vuF4FKm1zd2SK0vWWrPbPNJ2DU8uV6zXa548e8b28YHmcERl9S9AkWmWCSZuvLArNIVxKB24e7zn538RePrZ5/SHLa+/fs16vaZrejaNvOZnn72gOS64f/eSY7Pjqy+fcH1zRQqa7XbLu7evuFov2R+2LFZLjscd3/5iy2w24/b2lsVihbOOFIUH34YD2+0GV5UYWwrOrBOJgffvd7KgQ+Lx8ZGuE1hqtbzg6uoKYww///nPCaoQ1k+ANoeAxDCwWCyYlfK5P39yxbv3DzS+JyqhfjpbEFJkexxo+8jjQWwZbm5uiD4yz4pXla2im7YjFg6jE96DN4baOfEmikw2ByDwiNVQFA5txIe8TwpfObpeYXRLioO4QSrpToswEKMoR7XW+FxovPcMQU2c9ip3rbtjR1lYkhJPGa0kHcsZTdBgI4J3a4VPg1ghTDCdwA3jLAFyephK+KbB6UTUCVsY5rdyrWWT7WlDD0GYXTGfkIezIerEDOEUKJ/iaAkyOnpCoYWaqpF1HUZz1+/p4NEnU7GyLCU1yaTT940sl0LWa5vJAEVRkIwEbRtbMJtBUlqgKKVo2z5bQSi6rqcl0oVIF8R/ZrJN6D3toZEThzVo5wCNj0E0AHnI3OTA7bKay4n34ZHVaoV2BT6J7QFqNDuT5lH26DNM65Pa9+nv/9x18InTzfcp/v4pvQg+3unOp9fj14wxOY39NH2PMX6UlAOnm1M6/XwUl9ZMhrEoKleQKpn+75qtiIh2DcpYTCnMk/l8Lk6Vu20+fheQ1bVKQ9cIbbHZN9JFVvXkXX///h2lKuka8Qup5/PsV2OZ1zUPDw/MXMmhbaa0qr5rOO4PElbx0aLO2G0KHw1qtIE4BBbzivu7D/wLv/M7vHr1imIFyYtBkykKuq7lT//0T3n65Irr62uGXlS03bHh0LQsFguWixdsNhu++sEPmM1qyqpg6KS73u23hD6wurzI77PCes+h7SBEtod7QlRC70Ri/Ebb5tlsRlGU0rm376fkrNvbW7yueP/2DSEEVotqOpks5jOMqum7hq45cHV9K+9fIxmtKYr9rraEqGiaA721zJc9DB3aWqpKpPvqDHIIUaFzoYopB7EksTcYBU9Ka1RSOKun+9BZcZtUSWFUoo8RwkCM4ikzvu6xU44xiKguNyxaa0JKuAQ6B1b4IjH6zAdp7DFGTjFRCdVPAT43+zEmUGHKMk2cFKUxZ5LOZwIVlYV8zwjx7fd72lZD8oRQ8bhvGbxnaALBn/DqcV0qTsV6yN25QmGSwWqLUgmV7XFjFH+l839//jhBMPn0DVOB1/k+P68H0t1nMzOlxW7BGIqiFGFUCITMFlIIo2iIAZ9PAuO6SeN1zPMSDRT6Y/7+ePrv2j7rcAp0ZWhSojs2+LKCqpbvi0qyVZEmQBhPkJIm/DWY/D+3HbwxebgBWGewzhDCMLFXTPbK0MpMtsJj9x5jnHjuEpuWLYCVmbIkR9HFucfFCNMMQz4NZIc/GcnIMSuESERTuBKWhh8uLrm9fcL7+wP7Y8O7+x3OasrCAgXzyhHCwGH3QBw60GC0wRY5P3QYaNqDRMbNT147UUM1E7HPw8PD5KdyPB65urqibRvevXvHer1mebFGGyU4ZXMQNSRQOIfOFNJZXdP1PUPfUugKD1R1AZ3nYj3nZ3/2f3N9fY0OHn88YrWhPR6m4+dP/+Iv+PL5DatFRbOXMI+b66fC+hlarq6uuLu/5+uvd1xcrvny8xfMZjNmsxltK54eMSTmyyXaGsyxJSoo50tAEnEA+jwMe7jfZBm65Mwa7aZBW1EUdM2R58+f07cNu92GqMBpy/3DhuWspK5nlHXFq/cb4SRHz2q5IFhNVRRENEorbm6fM/iON28+8OLpis22IW0PXF+tmNUVNk8DjdFTUPoxJqzSVKV09iEXamVB9JxM8XGzQhEHxaANVWFEJGYXDL0YzPV9T1KGWVnz/u6OZEY4KTH4SFEYmqbFmoIeCR4Zjv1E4dNG7tEhQlQan7RYBCQII+1QB2JUAk2YRNeLI6fScjJQSlGq/iPx31hY6lK49IfDQcJI1COH45HtYT99z1iAy6LKAd3joDhm9a3c04XNA1ZEpOcDdCFBnsnEGOnzxjOGj3jfTZoEay3z+Slm8Rz/H5u4lIIYCFaOWhtMhkNKW0Kh0W3L0RYkoPUDSRuc0ex3LcPgKauZQEyDJyRF73MTqBTaWFFq9z1t13FoWtq+h6Qpa8kRDkEgIJ/Fl2VRihoaSdfSjMNtLXReThTI8Xp+qt+Rh/7k73/zx69FgVeMXOn8N6Xw2QtGzPhyWHL4bhcxdu7xk052yF27DFzLjwQV591Cyju8cUrc/ZLgk9pYYujxQyCQ8EPkcb9jOOMTL+ZCwxxxfZej+lbL3wSEIgWIdSvwuBV/7eOhZXuQvEs5jttp0p+C53g4sJyLMRTOUcTA5n4zsU3GRKu+az7iG5elBGsrpacQ7eV6zbv7B26fPGEIgZkrOGx3HKxhOfcYVdH1ndiyZrFVDAObzSN9c8DGC+nU3Ja6rlmv5tNGaYwwp999uM9mVpabi9u8WCUogw5sVaIwEmWXhJ4XQmC73U4CqNVqhVKa+3sxsXr//j1t2+bg6Qrfr6mqiovVUq5L9Ggl0NroQfTixQuGYeDVt1+TYuTqcpU31hZTFhLnhqWazYhotCnoB/FTGYaB1VxC3ZXRufOSWMNoDC7ZHJuXqXopMzqUEsGRlkCIqhRCgNVk/yBZ/HYIdMOAtQIvjFi3KyU5yhaOkAQ2iAlSjKjs7AgKnyI6jji8YvAJbSIdoj6OMWK1+KtEsiGfP8Ga2qgpbq8wTAVzGiSGU2bq6AfUBo0rCnbHA0P23XFGFLN+tDsYVakmS/etkyASEirJYDKCwBcRES9yEgFOhS5z2UcxEefY9vnsY5ozSJc8DANDkIwEYwxOO7QKGFmAjLRPn+uKQHLj/MRCUng8Wp1iC4eYcGfiyaHPzYaTzcYaBypinSOmAa1OjpLBR4JKFEpIISB5BCoJxXV673xKjTzj7nM6OfxtH78WBR4Fkr/ItDP77FM+dt6oyLHppiI9mXflYeoonhgDP0ZmzTAIVjtCNefHQBmIOOEMJ0VIiaYfCLHn2MmBXFkHiImUq2f0TYfWMqxdrRzL5ZK22Ush6OQEoanzjl4RVcb5lMUWjq4d+briX9PuG6Fk9j11XbOYidXvw4d3zOdzSbonMp/P6YaB+/t7rq+v+PzLL7m7fw+IkdcMweHV4UCz31PUFX3fcv/wgdX6gqY9SmffdCxmBX27Z3P/jq+ulgw+sG+b6dqFFHn39gGdAsNuz2KxoHrYY62lqkvqWcWLZ0+o5mvqysrcRCmKouL9/QN1JS6ErpKinrwCA6UuKK1ltlyjlOLiVjbhw14olt5LKPrQB549ezad0sqyFIMtFegamVWUZSkDsxRogbIEHh9lAz0epVO8WssJwMvQcLfboZENpek8Sg+UrgIT6IdANwRsl7De45yisJaEBZUVmkrETNYWsviVBIobJSyb4CNWgyqs2Fwnz+O+pSpLjk3Hfr9nPp+jlLBLDm2cohwXdokKCbSh92KHXRdQVE78xPJQfiCRNBzUQK8VTssJw+pE0CnbCStUiEQNpRXOuTUKkwNRdP6cR03IOSyqlJoyANbrNWVVMcSAut/Q9z2Hpj0JfGLC5vVprGhXqtIKdyQMMiw2jhjzSVmbqRnSCmIuYDKDCOz3e/bHFh9Ufo316et++KjoVaUlIeyzbpAAD2cMFFIcC1fm04mSQHVrcUVB5Qrm1YzCndhSSWm6YWDftCSjWS0KklLyOfhA03cMPrFcVFmvoHA6W5/gKZ0jRaQZTCLCpCworEWnSAyRQuu/tKB/+lyM0tyOc72/zePXo8Bz6tJV7lhQCZ0volDXPpb9ntOYxkHNecEfj54jbfJT9s3473wMEBQxZZzOB1JUzOdLfIz0XjaGY9vz8PhI7wP7Y8+habi/f5CTQ/CE6BnaIyl4XLmgqCqurq4oXEm9mGNsyWK1FA9r4PXr19LJBUiEM8qnDI3rxZzm2HB9eUlROpTvJhn38XhktVgwm80Yuh4yV7q0jsViwe64Iw4yVG6ahtXNNdvHvaQnpUBdiIHW7rBn6FqMTqTg8ZATtGaEw4G+6Xn/7o7dZselNlS1DJLatsVaS3PYsb5YiYd6Smi949mzF5R1LTzq3pOGQDcchZ1gj8I8KAoRdfUCoXVtfzr6lyXzWcGbN2/Ybrd0XUddyvsqrGZ2cTEN2aTQxAkrf/funTB9nj/HWcPbV6+5e/ua25sLgh+4/upzrLU8PtzzxRdf0HZHumHAjcXQaZwWFpVSBmfEjCoRBEPnY52BzG3k/lQRjIG+94CisKKcLQsLWd8xZu2On/UI241kAKyTjjdGgk8M5syNkJOthieiYyCNrpRWEqkAvFIQhN2ikVNvYU1ufoxYZsQxdek0dxi1A+NaCuFkO/CpcvN8LY2N0gj5yKkmZsh1FPak3E2fOt2UTuy38xogv/jer52vW9ENZD8YIsYWGGs/IlKodFLDmqLAlmKmVzpHDMOkIiZ37n2KVCmJjWiOKzwZn+X5VpaYaW0x2uH0yRZZmiP53RstJ6sEJirQf3nH/t0C/6uJ64NfosArpf5z4N8A3qWUfpyfuwL+G+Ar4OfAv5VSelDyCfwnwL8OHIF/N6X0f/wS/8d0o1h7Mg+TAYpQwkbsfXxM0/ezP4/dgfiJC098jOmDU/wanLCwGDPP1ggXdlUWJKX5i69f0XY9j4dm4ucqa2ianqbr6b2cGPb7Pc3ukb5vIHTyPho/wSUxJOFPG0NVL4gkirLm+vqaJ0+ecHjcM/iOw1YYJV0SPFNrzcWFiIqKUiT7i8WCN2/e8P79e26urvijP/oj3rx6zauX39B1HTpJ8Hg67mgyxfDYtbx//57b21tS9JSl4/2b91RFwVE73rx5xepSWBSHRiL/6rKkKmt0TPjjgX13oH/3HucsV5eXhDjw9v171qsFISVuriUmbvADH97fsb68zB2izAfEv0WhbcZfjzJYNTpNwytZRFL8joeW2Wwm/jQxYpKEse8PR0iKwjmaRrQN233eNI4tN+sLjEo83N8JnHWx5GK9FEaIs7x9+1aYQs+e8ub9O1bzBVVVMvR7un4ghRan56jCMgwyjXGVQSWFyvfiMAz4EQMGlFZ5qAquKnl83E/Uyr7vWa8vaPxJv2Gtpaoqdrsds/mCtx8+YF3J/nhklSEAH8hwjiX0+biu5YivjKIoLSpAjCIFTcHIySEFdBB4xBbihz/K+kGwYgBF7twRFo41hi7Pqk4FPmAzfv0pPDquU8Np3TrnhEMeg9B4U8Tk9+xzc6bsKQCHGPCDdLt1XZMy1OmGvJGaUyLTuPnrfGKaCnxeV6k/zRGcczhthQYZ5LmiKHCzBdZaZsaySY/4vidpGcr2fQdI4pgppAGLMdJ0Ld0w0DY9thAvIqMtKQRKW+b3XWLG2WCuRUpDq/K1VzrvdW5SmI81a/z90+dCiFO9+ts+fpkO/r8A/lPgn54994+A/zGl9I+VUv8o//0/Av414Lfyr38Z+M/y73/lQ95YRN6fyYyEAmeLrKrLAh4rxlx1+THve/BedmOtZIBnND7L2s8vYN/3k8HRWOjrMmNnytAPkfv9hn5I9ECDogmadlDs28RxkJCArjlSWMtiXlJWc5w2xDDIDUuAYw9tS5/FOtW8wiqLGbayAT3e8eH4lqqquL75DG8U1UVNCAU///kHCmuxpRW7UwETKZYz9ocDV09vaJqGd5sHntzecvX0Oe/vN+x2O+brBZvdjlQYQlAMvdjWNseO8HhktloTEqhyQZsSK7Mn7l9iZol1fYWLluEINgXmM8vlcsmsWOGMxmeBiU8dyiqKqqLvj7x6vReZ/yg8K5QYZBlLUVUY48BYunbg0LQoo2WRpMQxRfo+sn08ymkGgQquLy959vR5Dpb4QGVThj8M83rGMAzUhWNelSwzpDUMA9vtPauV0El3ux33W08XEje3VwwxcmwOmKh4/bOXXBWW6BVtFyisImFwxrE7aJoWqsLQFpoLHdEKSmNwxkLsSEHYLykpotIEpYkYjBqoSsWh6WWGQ0Ibh1MOawuuLq4YvOfx2HAcPM2+5dAG8bQpZ2wf9yyXS7p2i+86qA3bQQpJZaxQ5oNg60oJ08vOxWYgjHzr5EW0o2yeD2g8CKssd6HlpJw+GdQ5R84sFUGSNRqfErOy4Mn1FY/3d9AGEjkaL+PZVSW4/pB8Dt0GlTQpCSlCJUXwsi61ihgr+oQYJQVKaU3jQ7YokA2krESRWmqDSxD7gRQ8WhuMlRDY0RveDwNVDDhl0Qk6n4iFQtuSGKKIrIziutI4Zzj0LcpEXGFoPVmrIbDwvNCsSkulA/dtBGU5DB1diOIo6mSWp4zh8SjztFLBrCwYMkvvcNjKhppk+F3M53jE9VOslseaNFY/Q8qkg/FEYawwxcKvgC751xb4lNL/rJT66pOn/wHwr+Q//5fA/4QU+H8A/NMkFfWPlVIXSqnnKaXXf9X/MQ49zwM6RhhmfMQYZRgIE54+dv4jF378WowxDxvVNHw8/3/Of/Z2dyRhCJnJsNn3tD5yaBPd4DkOEe9hiHJkm9ULrNZ0zZHXr94yDC1OSWdaFuKzsb69mPBCEWoE+iFy9/blNFsYMc8/+ZOfMJ/P+eKLL1gvl/zmj35E8oFf/OIXDDGyykHdMQVmeXOy1uK7nvlcNpc/+MM/5OU33/Du3TuMc5TlUjrh3QHSwPX1Nfv9nrVzVK6gjTLjKJTQ/R4fH1naOcY6Xjx/KpiuCaSho293kkZ/e8NoYGWMYbZYMJ/PqeuaeQ5eCSGwu9vy8s0rrHVcXt3k4a3D5ALVNM20qJQVtfLIv1Yk1us1WmseHh7YbDZ888033F4updPPYcnGGGHV9EJbK8uSy8srdrvtFLqyWCwYvODuj9sH6rrm8upCXu98Tvf4gHY2nzw6UowMWtFn4ZKxCjUIxqu1uEyG6LEjHVCo8eKEpAIxgk6R2WKBcZ5w8JSuwA8dSWvmdclm1+T7ROif95stxopHe3M4yPA3Ro7HBu8HyralKOQ1Nk2D0lBXJSkqKYZ51hSCmIU5Y5jVAn95LwQBXRgGISpO3e+4GVgl7BWN5K6KK6Ij2KyCjXq65l9++SUPDw+8ev1aPuv0cYCFMEoCscsQTkyURSWdei5UdmT6TESHfNLpBoFHsxnbyC6bKJKjFXiO4SNGfBYfdcdmgmX0qLL1Hq2Z5nLGnIgY4+uVz1CjtCYlKc4jGaPrWqD6aD5xblgITNedFKdktv1+Tzu0rBYLEUllUZZS+fPS32XGfNrBp5TwWTDwq4Bp/qYY/NOxaKeUXiulnuTnPwO+Ofu+b/Nzf22BPz8awinPdCz24wUdpcvnRj3jYyyqYzLQOR4/fn38npEb7xERUtKGZBOudqSg2A9HopcouzYEmiGioqJpj/iuRynN9eU1ZVUIHUrJtBwV2R9blFZTIEEcBlIMLNbXDH3LbvOI1lLk1rOKru343/+XP6aqKv7g934Pay0//nt/j7Zt+eabbzDaQJHViN7jqopQOn7+i5+xWq24vbrmxRcvKErLq1ev6IOnms2pyppDlqGXs5q7uztsWTBfroQr3Eox3G4eiLqknq2YL9f0/ZHH/YbKGn7zR19KopZTUxZlSGliZNiyIMVBZPZOc/v8BoVQAruhQQXLfFHQDS37ps3DbMXgew6bR7quY7975P7+nr5rub29ZbdYsFjMSCkxm83ocmpWVddS6JTiYSOUyJHDvXl8ZL1a5thHsZu9uBTGkQ/Czri/vxch1WrF1WrN3f0GYwy3VyuJfkyRw7FDq4j3JVUlmZ/CvJBEqLoSL3iRriNVPuVwaq1QmTGlSCxqR1SKx2OD0YhR3mzBL1695PPPPxfbht6zbUTgRYYiu2HAGU1CT+ti8INoNGpRssZeEov6zkuQRVkwxETTB4z2OCXstEM3YFU25hupyMrm1wp6VNMaofOd5guBmISuOERh2FRVxWq1kllQ9qcZ11HfZZjNS/6tc46QIn4Qxaix5qP1KrL/E0Y+DD1+ECaNz3Dr6E11XgfGejE6jZbWTfMMpe0U9GOt/qiYjtfxu01eoM8b6Wg/PsQe5RMx8+JLJ0p0q/VkJREy3LVYLmRW1wt54ng8EkJgVj2ZRJazuqKwlj76j4r5eU06h5zPn//bPn7VQ9bvs0H73leplPqHwD8EuH3ybCruI6Z3zlmHU0Efd9KxCzinEp0XcKPFo3nc/ccb6fzDVUoJQRdRKcsglxx8Ia/BGoUZsreF1tTVjGgdJA9JGCA6S9NjFH9uPZtNsnWVTs6VMR4pqxnDzHPYbQVumpVc31zih5bdbsfrl99khaZ0FE9ur3l4eMAU8lGFiYdcsN/tpg3NOcfF1RWPux0Pbx8JNrKcz6lyaPKHDx+4ur7NJ55OsMYYJdsz0zNVkgDrqrA4PCl47u/vOO53mNphs+91SgnjHBcXFxRkLxdjCCmx2WyYz+e5YzE4owjRCwPjcMDHOOXubncdx+MRo+Hp06cUuaMeF5FzjqurKxb16bMcT2u3tyJq2u/3U4bv4+PjtKHNZjOsk897vhBWU0Joj3d3d1RXl/R9j7OGppM83Lo0WaQiHZcZxH4uoRl8wGeWV5axfPf2TpqQ6b1GJbQSDUcMLRpNHLwwK9RoNiaF87DbMV8uxcY3x+dlbI4QIaVADBBsLgZRLAaMcZKpGzIjPyH0Yq0wTnxrUhCBVkqZ4aMUMZ3k9DEqkori/ogwY8ZmavRH6oOf4NDzontuEwLC3g5kuqJzQjvO69Np+VxjCPn/HsNwMnVxCGfrd4RrT+saRjaa0CsnbD5n+MpMRE0fx0SDTqeAlXMrE1mT2QQvBEL4OIhk/HdjB//pxjDWo5SbUzW+52mDETpmSElsST4ZGp/Xq+/g8L+Cwj4+/qYF/u0IvSilngPv8vPfAl+cfd/nwKvv+wEppX8C/BOA3/jt30njtPr8aPYpXFPW1dSVjxd7FEac/Vzh9AoTdgrTOD8RnP+6nAse3A2BLkTS4OmVwtFS4qn0gHIeVQQSM3Ez7DoSAZ0d7krnhGcsRH42vhHiQGYpqCgDO20szfHIcrHi9vqaGCMvv/05zeHAj37wFV3X8c3XX/Nwf0/XtixmM54/f87nL17w/uEtKSWqsp6YDL/xGz+SAllYokosiiW/8+N/kf+rb7i/u6MsIsY5ltZyeXnJT372M2xR8KPf/i3BDxcL+hApa8P2sCNFz/HwSFVVPH1yQ+kKXL5DilIooXVdi7VyTova3N+RlGK5FFgo6UTTN9Mg7tDsedhtcUXF1e2VFI5ejqBXeVBqsq/LKIIxSjEM3ZR7q61jv9/nY7ps8kNI+ZQQUMpIbN7Qsl6vuby8ZLPZcHd3J5uN76jrmuubq4kqu2vkucH3vP1wx2q5QJs5lysJmSB0NINHW42OsGsjKQy0XaB0huViDpCN3c6bBMGZZ3XJ23f3gnenDlcsgAGrFevlgr47snt8xLiS3e6Rej7Hp0iKIrgxOnFoWurSnsF6kjtaOhUq/4MAACAASURBVAsK3MgHV9BmNlEhiSWSahUTlXNCm1RJaD6KKRd2iDKQFYJ/yJBXR5cZSjrDJp0/MX3GIjnSkMdHVRT0+Xpoa9FFIUwUBSYXcacNvR+mAim5qMJIiVFo0imeOPXjeh5rgDEGnw3SVA6+Llwhpzitxl4NrQVuijGbpnGaxY1fM8YzDEd8THn2IAP0wZpRZpQ3oTEfQqAerRUh+AzriPLaWtFWKGtAa6qq4v39HfOqZp1DgPpBwr/P39P5nz/q5M+G3X/bx9+0wP/3wL8D/OP8+3939vx/qJT6r5Hh6uNfh78DkNIU4gFiPDValI5slJTxxvOCb4zwag+HwySYOe/Wx+7902it8526NNkUylhmaOoy0XvyxDxlAUmk3Q/0oUERKCtHjIahl9fZdg1Wa2azGc6JuVZKEvAbB8/QNhAjrhSP+Ga3l8JsDNc3V2w2G+4f7lgul/zwR1/x05/+lMftBpUij48bZrMZFxcXk0BmYkXkOcR4tHx8lOL8/LPPcM7x9s0bLpZypN5vtxIC3ba8efOG1WrFfLVme3ePdQUpePquQekBaxSb+wdi8lyslsyqikO3n7rq3W7H6mJNDIGvvvpqYowMIRAR3rqoAR2z2QJX1viQ2O4PeUPWGVvtZXGULm/Ehru7u3zEFyXyfr/n+upCjvzhRCe9u7ujKGRxjxGOfSObwHK55MmTJxLAHQJFaYVjvd9nS4SCh8c9bTdQlY6L1QIfIvtDgyZSlQU318Lg8e0m2/0KLJCMofMJ2w/5dY4BGQPKaHHWigmjEvNZxZu3r/GpxNmSwlhmdUF6SAxdi1bC8Nhut7z4/EtQiuPxiDUOWxZY5+h7zzyL3vaHXebkD1ysl4SQMr4c8TGhCCivsCZhnIj4umGgtIakwOcGx42in6SJShhAXScwYozgQyIEz2geM1KNvfccj8fJTngs8M65yagv6ROUMjZU1ljKzEIZxUAyTBTq5PjzRgGhMg7FKawnhDAJHqVcCA10rAPee7SzmYapsj/PyW02xI/hHe+9+EA5J685eEbtjUBvKQ/UI1GLUMsZI6dxeWMyD8vzvbGLTzFyc3MjEHDf0rYti6oWLYcr6FM/vYZzxGKsaeP7G+vTucDrb/r4ZWiS/xUyUL1RSn0L/MdIYf9vlVL/PvA18G/mb/8fEIrkTxCa5L/3y7wIpcVmYD6fT8+ldLLETUl8S4b4cRLMeJHG4cx4jBwDcM+Hr+ewz/kFVKGVw7aSI7xJCkvCMVAZKFY1QyipnOLVXZg4xFonilI699FBL+lEVJHU9RirWc1kYSqWaGBWlRCjGJZtN1kdN+OLH/yAt69f8+HhnllZ8S/9/b/P2zdvaNuWV2/fSNF+dsNqsZDFgEC/8/mcpmnYHw8SPl6VNF3L7dNnzJcr2lFcUxas12vucixiSInN4z34wO2TG9pGwsuHEJjVi8xV16QkR87ee16/ecnjbMbT21uWyyVvX7/hR7/5G7x59YrVxYVw7LuOm+snEuuWWSbdENjs7oW9oy3aOJq2x/uODx8e6PseowXrLZxlPp+zmM3QmslqYvBR1KJKlJqjv8pwbHn77gNaay4vL/Htjrqup6PySElcruZcX1+z3T1OLoBf/cZv8eb1ax63DzRNw/XNJev1inq5IAwdr96+E4hoJbOAdkj0IRAQG+WmB2eE6mk0FMbSZhlqzAt3NXekmzV9qug8LJc1Q9cyq8ppDkRz4PPPPxdfnkFM7JquQxnD4COVqxhCIgXxsB/x6RDFBkBS0By9jxDA+x7nDMrqSYwzRC/GYEpYHN4LR33IwR8J8a5BW1xhsa6UohNEcXxom6kIjxDqOeyhlJqMzlLKTo1DT0qnHASAFALhDNYJvSelgebY0nQdknWqsUUxDTxPa3f0nDeYsqQfRLymXfFRzUjCVcwNomDzo8dVCEHCN0YrZW2yKaFsDmOiHBFiyrMNJ/761un8Z3nO2HwNEJthWwpFGwN68AKh5cYSLXOTT0kk56jC+Pp/1Y9fhkXzb/8lX/pXv+d7E/Af/DO/inQ6Vo1FeizI58fAT2XLn+KA5xNv0glnP/+VX+d0kXWWXseYj60hMYSIKyoGArudGG3dP2zZH9PUeaQkopaLy9V3fq4x8jqty1iel1CFzabJqkfDOnO8Qy/cc5WfI0be399xNUI4L1/KgPDDe4yC1eWFDBG9p+0alFGoBN4PuKoAozg+HjDa8uzZMz68f8/ucSOWxoUwjtaXl/S+Z+gHlsulCKZ6D0pxOBwF740DCkMKgcE5Pvv8BavVisfthsfdjt/93d9ls9nw2WcvOBwONO2RJ0+f8OZuy9D7zPaRJKcYU6ayerQyHI6tZGRmp0NrZIBXZqdAKSZCpZvP5x+ZxI1WtuPsZYTg2rZlWdcMw8BPfvITjDF89vkLKfxnsWrjPfKLb77NoSVr+nZP37e8v7vn8nJFPV/SHBAl8KbPvihzlLHZqVAx+AAYSXBS0qSAFrw8xuxR5ESZHEv8XhwuB9+RkicEgWH6PEAOIUy+4ymqqYMFcnarh5SmPNSURHHsshzfjwwRnVBeMHaShGrHkND5hSql8Om0psR0UhGUyvoeERkawGhplMpM33POEbbbj4J5Jn58EvMxpWRCEeIY65fnXmfzsfE9hiQQStu29MOAyvDbyKI572qnmpAHwcqfPs/z9TfORuQzFyJDnJhPZ2E4WqOTJEil8LGeRqeETgJ/qSxkctrgdBao6ayeJ5GMFv/53OnHGGUozcesvU+79E8hmrMa+s9cPv+qx6+FkjXEIErFomCz2bBarc5SXeTi933PbLn4hJoVJjz63LfCWkvf+SzWsNMNeS7UGL/3kEqCF0qk0CQ7uiFxt23ofWDXSGr8oGZcXig+fPjA3eZhem2r9Zz15SXz+ZyrqyuBgzJv/wQNZadHstrtbJr+7u1r3r17x/39/RRNtrm/59t3r7i8vOR3f/93aduWw/0Hvv32W555z5PnzwD4cH/PLGN/u92Opmko65qyqjjs91xe37Barfj2Fz9nv9+jteazzz7j65dCdLpaXfO//fH/ysXFBZ999pkcv/0gRmGLJUkntBYY5Hd++7d48eIFD1vxbalr4Z+3bcvDw8N04xs9RzkLSudhXiQmDcng+wBa6HPOFux3Bxko16XYBbcNdV3n7NclQ6aejbOWEZJzzomPSxZ/jQuzaZqJ1liW5WTB/JOf/pl049eXlGXJbrfDVWuObUdVKZSxdG3CeM9Pf/pzytLy/OkTitlcqKRKsT/2hNBk3NdSF5p5ZSkUBAO2KoRdpEfYIzGvClFTDpq9loSp9tBgUOw7MZJ7/eY9q9UF20NDXS9Aa3aHPT4GYi8Cp2EYIAbqWYnNDc14/7WqxwSxNwCwWoENNL1nMAqdPMKEF5/6kU0j6yT7yRuNK6xklzJy/LMzZL7mY2EemzBrZTYw+gDNbIEyYk0RMxw0+b3kzy8Onr4f7/3EMMjwtm1beh+xVpSizhZi8MeJJGEYCyUTlDO+RuccUSFY+5SgZlBnnfupoZNhaFFEwpDwcfQGShyP4kA6Kw3GjqeHE7w7BqRXtdxDMUVsVeUZnsDHx+YoQ/8i50UbKfwpBEI6ZdSeb3Z/l49fiwI/fmhjQR7TnMYj4fmudt7Bn0+6z/9+/tz5wHb89+cCqGMTCSnStoEhJA5dpBs81WxFf2zZH4803ZBl9xvquuYPfu/HLFYr1mvBxQfvCT7y7t07Yoxcjbz7HBRSVi539A7rRPXWDoKnX15fsbpY8/ggYqWHuzvM7S0vv/mG/X6Pv71ltlzgvFyP+xxVd/vsKXUtFqVlKX7pdw8PpLZlXs2JMdLtxD/m4uKC9XrNn/7Z/8P7D++4ublhuxVBRl3XtN0RH3qKUiAxFJRlgdaGxXLJ+vKSV69e8f79e776jR9NmH9KiYf7e66urqiqKvP1NdrYrFDtiBG2hyMpCjslKY814v+zXC5pmoaHhxGqkULw/v17isKe7JF7TwjCPZdfmtXqYjpSj4Wk3d9xeXk5de139x84HA788Ic/lIQoK4V/tVqxOwa2+71EGV4suL6+5vHuPToGYpLCpXRCF3biSLfdQNMK5bIwNSGokSSS1Ztu6ubGe+3c40UbcU415NB0J+6flZqoHx/BiCmJn3jf96gUqRHoJPhEKATzHYuXzwVeGQ3IPRa85KBqozPzJ4ewWDMVwTSG60QJGwFFiBI0H+KpITpvqD6lG45rb/SHR/gz3zEz+77BobBGTiefT5ks6ey5aQiZTxMAcciDXxl9TK/LGAucNsPpZ559LjFK8yZGa2lKstLaTWrkcw78aMhmrZ3ej4aPivUEv2Qa53jtBu/ph3aCj89r0Hcff3vsfXz8WhR4pRTHZsD7huVyybHtBVNE0w0NIQTquvp4mu79dMONC12KnQxliYHlfLQmSMQcJZbyrY4RzL0yKYdsi/VqpGAWHfshsXY189UPCCHR9p5+10pB+nDkw9sdKX370aBkZPS8yfJAlbnuZVmizSkKLYTTa64WFfP5nNVqxZN6yRdf/JC2aXj2/AvevXvH11+/ZrFY8KMfPmf57Ak/+/Of8M3bNyRn+eLzz9lut4S2Q6fEuqyo65oP+x2rmwu2Fo67PVdffMb9/T1Pf/AV7eHI+7s71us1yhpsKR3xn/y/f8bl5SXPXojf+9cvv8FVJT9+es2T51foshLOfNNyPDSY3YGryxvWtyVd23PoBgKag++mhTxkFhEaXOWYzxY459jstmw2G5ZVNh27uGAYBvpOzJXOi+JutyMGRV3NcIWdRGvb7YbjcY824mdu3ZyqXIOKfP31a5RSXF1dolSkbz3tUQaqjT8yND1Pr5fU64UYmfnIYfuIVpbdsSMePH/6k/+TJ0+e8OMfPsOYyHxuqJxj5iwhenzfM1jNDoFilK9xqaWwlmCUsF0qUfE2/YHZvGTfH7i5LPnTVx4fHG/f7yiqJV0XcLagb1tcUaCiR6WBtmmp6xWCksuGtL5YYVIkdL0Um6DRKZH6rNbOpmIJjVUaP0QuFiVaBSqb8491tvAFUhxNx4bs+whFppdaZnjv2e127PYyXN1sDgJ5DAqTHHUhxWgwgoXrIBtwoS2FKzIxwmdsPoCKklmLpkuKxices2toWVpUihjVYZVhiPLvo1YkbTj6kzrd5bxfnCNmAZSG/N4irgDvhdFk0fRJFMm6DxgSpIG+PxKiCNiM1pTVAmsdPgqfviwtSv9/3L1JrGRZet/3O+fcKeaIN+XLoaqruruqm13d7CIl0oK9sFtaGbDghWHAGxmQDVEbwxuv7JUBbW14Y0A7wQMgEPDC8MIGDBmQTWqiYdEyRFFkD5VVlZWV05tiuuMZvPjOvREvu0xSbAEuMIBEZUa9Fy9e3HO/853/9x/A23qw5TY6pfOQ5FP53KwneE8WFMZkZCl4ZSl0SqbFWygo+Oz5l1gnZnrzxYwiT8nzDNu0tE2J1ooizwl4du5fXln+WhT4ELiHpclzh92t79Le/n9v41p/3NS53/2hp8sG2emDJCcagjjuqYCrW1yI0E3n2JU1NPf5tMeD3eP3MIpRdP3w1boOHBFfNBijoz2YG4ZXu7XYGIxHI87Pz/nmN7/J2eqEf1L9E+q65urqijRNef/991mvRRj0zpMnzOdzbq6uho3v5cuXhDzjLsI3qTZ88ewZy+US10lK/fX1Nbe3t3z7/feHIfbZ2dkAZY3HQu2azGc8fPhQ6ISogRo3Ho95/O47vHl9LcfyeH2atpFZhvdDlyefx4jRZDIkN+nEiKDpZi9D3MiRbxsJFZEu52BbK/F7wuDYbrdxXiNZtGnUB2y3W7q96ApWqxVKRafBRoK4F4sFlw8fyEyha/jZJz8ZaJ/zuQid8lEqyVHxPbVti06SSBt0LJczksTQdg6PJez3nJ4sCXEtOO+wXrzktdZRcCeQgPXCmKmbVqASY7D20FX26ym4Q6xkD4283SEmSYLSB/jBOUeCvtct+8ZhUYwXk0hB7QWACufboTvt1a2pMfc6SwndLofPvZ999Gt8OKXE27IPCj/Guo9PIscixv41jk8Bx/fu2/fx8dd+1UBy6Oy9UD7f7o7v1ws9dPXWWlByfUw8BQ6w6tE1sdaKPYXWEDRGi3I2Qdg11lpwR6ea+Fn238/R59L7Yo0vLyj3Fd525Fk6NK0DffRf0uNrUeAhDLRHOKSrCD1KqEgydDkIDY4Xy/GxrrcuMEodSZUNBAbKVAgiTNAKushO2DcdbWdZl60oAjtoO8fdvqHtLLuyIgtC3esjAAdBQ1xQ/QJJtXDE+wFhFvE4Hw5h210cItZVRb2vWK/XQslUms+efsJsMuH8/Jx/7V/9C2zXaz579jOur6/xc8vp6SlKKX7nd36HxWLBD3/wA9q25erqivfee491Jd1WuRXc/Zvf/CYvXrwQZsdqybe+9S1ub295+vQpq9UK5/2QOnV1dcXp6Snf+vADFosF0+lUwsrzgjzPpVvOcj799FMeP/kGNzc37Kt6KAqVF7/sJNqzylEYyrKkKqML5U4cMaf5HGD4PAd1bJKgNcOC905F/nw90EuzTAaf84XYJNR1TTHKhs9Ba8WDy3MZonYNd3d3XF2/GRg3D5+8J2Er3rPe1UDNyWoh0FbT8PjyDO89/+z3/jmLxYKHjx5wd7dlOh0xGo1RvpVua1+RpBJ8PU7EMtYYQ5Lm1G1DnqQsFgvWmy0nqzmffvYFtlMUqWZf7UmTgm1dgjLs9xVBxcIeqYRtKzOFtrE437Fyq8E+IEkkW3Yo1lrTOWk6UEGYPXVNbjIUFpQkfSWIcC+J4iOlkXzVyNP2zuGdJ8kzOeU5i+4S4o4kxRQR8fQNU48q9O8lTdPhxNoXeucciTGizFYG4+83b0opCb6OBdIgxAelNZlJSKOoiRBV4zH3NhjZTHF+CAc63hCPa0oeB/ZtK5tcGqFGM/DjTV+RqOpGtCy+IwRhcbWqJQ2QFlOSLCPEn9PU0qipGOHU1yzZeNxQuJu6palbHl5e8sWzLynLksePHlAUBaM8Q2ugvR8K8os8vhYFvu/ge/zRusMQ0hzthv1Ofkw3ku+/3zmEIPLrr5pQH+NkSmu0SnDm8DrOOazz1LU4SJZli/NiHNS/x77DleKdDR1HX+DPT+YDLqyi70fgEKgQOCy8pi5xXcdklFPXNeVuh3ctz59dcXP1WoZ1kwmPHz9muVzy/PNnOOc4OTnh0aNHbLdbXr58OeDgdV2T5zlpmrJbS6DGcrHg5OSE2+trWcyZSPzr0QiUYjKZyGZ4hNf3mai36zVaax5ePEBrzaeff06eFzx+/JhXr15J5J4+sB9Ue1D+CX1Vuus0K8R2oGlIk5zzsxmbm40oWtdrwbmzdICuRqN8uBGdc+z3ezrbslwuWa1WTCYi+NpsNgcL27hWplGE1NMsi1FOVuTMiwUheDpr2ewlZanIMxarU1Kjol2AI7jDkHx1ekbbttzerFmu5rRdx36/49HDB+Sp4fr2NSOXk2UZ48yId7sP6Ej9hBjCrcWuN00UwVsSo3Bdg0kzuqbBqzhrClY8TJzH2xgSGMK9ouVdGLKLfeR4J3lUmHYHbnpqkuG6aKXITYLWiiwKl/rAbOVlc6aTdQpgUOKUGTfcXofQkwQG7L9PWIuF8auw+WNoVR0GKffuSXk9g9Lq5+75r64ZR+Kg/sT4FQXx7e8/fi9ZZsiLYhjMH+qHBKa4aFUg9iiBtj140idBQtb9/8f7G045RzXIWlEfe9cJhXkrjc36bkudt+QPHsTQlqp/t1/52v8ij69FgYdDokzTNDRtPSyqLC5cay1F0WdZHjr4vqD30MlBOKBx/mhq7cO9At8vtrpz4sviAz4ojElIFMwmOVk+oph6nJf4PuXvbyjHkuX+ea01u90WOHQnSRoXvOqHRIek+2me4dOEIktxXccuhnLvt1uur6/57f/975LnOd/49vtcXFzw0UcfsV6v2e12AFxcXHB1dcWrV6/49re/zXw+53azQQe4vLykqWu++OILRqMRxVgw1VFkQ+Rpys3NDVVVcXZxgTGG2XLBcrkUKp5SPHjwAGMMP47Uw+9973tobfjs2TNm0wXj2RTbOdquo+s6zs9Xw2xEFKueBxeX3K7X3N1thk2jbVtyk4vY6/RU8luN2C97YzDmYBGdZSOBLRLp1GSYbZlOp5xfiLDk6uqKoA3eixCtl8vneU5Z1yhlUMZEmmFA51OBfModr69u0SqwmI5YzKeM8pTEKKztcCjGszk+eF68vuH0ZM5yMeOzL54znYw5PVlRlnvCtsJ4OVWkStO0skm0tqW24nXSdDWXZyte3lxRjMe8ub5mPkq4upICP87GoDVV02HSniLph3vDOzkJ9cVWFLdxnY30cArK81zWmhOPlLqOmDMWpWAaC7fpi1O0DTC6b6JimVcilspHI3SqKTqJkbS2w4UAWtN5O3Dg+8+8vx/6U3h/utVawrlRmhC96ruuG6iueabJk3QQOEl6Zn/PSN6p/NvLRhrvw68K8+5rw9vP9XWiKAp8Fw5CqqNaFEKgbipwHp0ZZrMpRok+wVpH65QYnnkZSsOhEVVChRtO+G3TkKSG8XjMblOzL/cyc9zXNK0nywrq2rPf7yhGkvHQXxf/FRvWv+jja1LgD7/IcJSLC+IYm3q7Kxi++6h7v/eqb33dV2F7Oklk51cabTxep9iguN3sMRpyndLZ6HTXOREUxWPdcX4kHDap3Ny3WUjSvtDHM7A68Pa9bfHBMx7l6MmI2XzK+uaW0ajg0cNLRoXIoX/6059yfX3NX/i1X+fi4oLtdisD6bJkNhO3xZcvXzKbzcijj7TwkwOr1Yqbm5vBTqBpmiFR/uHDh6y3W8bjMYvFgqAVi8ViOAFVVcXd3R3eex4+fEjXddxtbgTTj+ZYVSXOndPplH3b0tTdICoxOuGzzz5DGcNkMqNthVc+Hk3IkygOCY7tdovtWhaLhQwqoxdKf0p6/fo1nW3vOYNaa+X5rqMoCooixTlNEql8X375JS4Elssl0+kUZRJsZ2k7y/aNsH/yudghp0ax30pqUZZonBP2StsFOheYT8fM5gXGJOzLmqvrW8qy5N1336VqGlrrKJvAeCqeKNZ7TF+Auo4iyahdy6jIyDLDOM/IE8jSBB3VnwFPogzBOpKkIKgAtMPal47ZD8K+Y1l/v556zL/tGrq2JU96OuHxPSCCneGeieyTfrh6YLPc54f3xfr43hr+cICKjovpV92D/b+Om6T+3/3X9OQI1T9/9EfkWgz/DvH9D9Gff8Sf+7XgYE5IhBitxKhEaqolMSJOdMpTZBmN6rB4CXlx0L3FLAo+yEA2Fvm6rsnJBmrmwY4lIU0znPPoUYr1gbbzFEGT6ANv/hd9fE0KvODsPUdZGz2E7fbYbr8I+oV2jOv1dgQgdrTHdgQD48bf39Hz0QiCoqzkdfalcHHbGLStonOSUhLHlhjYl9Jt9DdUDw28DRklHE4WIfhhd89yOTIrfaCQaSdOggpxqjPGMJnNWcYuZj5bMJ/dUj/9KWVZ8lu/9VukacpHH33E+dkZn376Kc8++4zlUqxwy1Li72azGcuTE6qq4smTJ6RpKnTErkMbQ5bnZCoKhGYzslEBRvON994jBBmG3q3XPHr0iA8+/JAynpjqTmyKdZKQKcPdej10aEGL9Wt/vdYxxGQ+W9I6S1UKLDIeTYabf7sVD5zJZIKzkkBljaGfqbdty+effy4LPlrA9l3XbrcjLw42DdXGD9z40WTM2cUFm82Gm/Ud692WfDQiS0Xxu1idsN/vKUvFbDamVTCeTHG2483NhiJPKYqCy8dPsE3L7d013nWkRvzFH148RBvFTz/5jNG4YFyMud3ckmQ7iiyjyAxFcTQktTWjLCUEz8ksZ7u/ZTkr2G1vKRJFMBpMxnqzo61bNAheG5lhbdego8Dm7nbDbD4Z4gwJavBHz0fp4KhpUGw2GxJGzGcjxnmGUpCGaAzmHNZ1eGtFyWwHA2R5rWiz25/Iel2CtR1VVd0jHGRZMQwo+825b3jg0IR571FaMpd718+eOth/Vlmc3bS2xnl5b9IcRd+c+F/nYyiQIyY7ffVw9vjeHLj5wG63G/yDevuCcTalKkuUDxJkrxVtV4vHmWoJXmEbiyLBEdjthFlX70vyPGc2l25/vRanVNt1+LWwZ5aLU4pCHFnzPGd1csLLly+xTmLod7uaPJ+wa/fDaegXfXwtCnyPifVFux/O3euC48DieDc+LvDHDznSHbqC4wt97EhpO0tdWZquY71eU7eWurN4NCQpbefQJqVzjpubW5wz9z74ngHzNvunP54bY0DJdF9rdTA+S+QCSwEfDYtbkm7Ey7xpGnTXkY8KLvIHhETx+eef8+WzLzg5OeGTTz6ha6XjHX34IS9fvuT29pbVasV4LKZo1X7Pcrnk6uqKyWTCbr8fpOKiLoxdlj5k3IYQKMuSzXbLarXi0aNHeO8Hr6DpdErTSgHf7nYxhV5jncOWJd7ruPm5CKsVQ5ckMLmkB9V1jfIi4hkV8XpHAYsUn25g19SVCGtMcpC9C09fs9muef36NavVauB395tuD+OtViuRzweF9Q5XVTTNNcHJ71GWW8ZFzvjygvliQpjNcJ14IX3x7DlnZ2c8ePiYq9cv2W3XjEY5u7JmMh3RNV3cxBYok9A2HSoE8qQY3isqyHE/CdE2FxIFmVEUqWDyXRdIRzkqdrVde6AB98psOTEq2rahbfKjgbSOQiG5nXu77CLLqffNsD7FJdJiTDawX9AJJlWRdCBF0DmxQWjjRt11HWUt3iplXWNdR9U2w6bLEff/7eFmf3/3D+89ikNz1m/Ycr/cd4AM1sngtPe5iSdt5x2ulVOiyXO0Tu69vtyH+t46OH4/95vE+zBv/356x9Y8TSSIXckm6iP7TWkw6mB/3NeFHoY6Zhr1jdvkYgAAIABJREFUg3vrRLUs10IYSVoLtKZMSussZVNzd3Mz6DV+0cfXpMAzMBp6atwx9bCnF/YF/7ij6GGSfpEMFzMIBXLYPKJtrvMheq1keBfoHHQxcNmDeKqgudlsRa2HDHHG4xEqukne3qyHsOQequnfu9aaUXKgufW/m9aa0TgneOhaD8FiTOB1XZIkCaPRSN6X0mxLMSdSWlPVNU0lgdgff/wxv/rDj3n69Ck/+clPeP3qFdZa3nv3Xd599120lqCM1y9eslwuAXjx/Dmn5+fsdpIWNJ1OKRuhvNlQMclnA6abj0bsdjvKqhpw8avbG4qiYHF6hlKKzW6Hd4F9VTIqJtEXvC8Mjq7T3N3dkWUZi/mKuq7Z7DckWU5RFNjOsd3uZIAVoCiEUnp9fS2spq7DdR3X12+kcM7njEdip9BTInuzMa01ZSUGZpeXl0wKQ1aIrqBpO0bjgsXJin1V0XaOLhbBfDxinKRDx9nf3M+evxhu1OVcAk3OT+dievbmmmI042I6xdmWsmnY7nacnCywaJ69eMXlyQynFI2FqukY54Y0SxjlBS7pJf1weTrjLhW7A6UUi+kEpzLuttK5F5l8JiYruNpfHywLWjsoe4cNdyIDfd9JB1rWYp2b5aL2HY0kHjJLFdga50TvgTsoqpUP7NsmYr+HQpjQDSfV/l7ruk66/ljEepKBjvTD3mr4bRuB/n7WWpqBrjswbPpBcJYdLHeFbCG/ozbinuycp6r396iXJlHiTxSE0dOfPkIw9zaR403nWAEvUEk6iLR6NGCUpxRFTmKAEOsSUjPaTlg3IKeBxWJBmLiBtZfnObe311IfvCfNEi4uLsjThCzV2OAxScpkWrDyJzz7/AuKyZjLy0t0knBzV5IkLfvqwBT80z6+FgU+HPHgp1PJyRyUYuqAMaroq9xzcvsLWBTFvYWhtcbHm6d/nbaTLlLp+wOXfdXFG6MGJM2n845HDy5Fcu3E86NtW66vHAQjuFwwZGk8+oWD257D02y2kaUjv1eaHVgmo5EUIG8VSnfoHLzymFYKvlWK/a1g3joIJz3Pc06XY4EvmpYnT57w/e9/n6effMJut+P5s2dD7qr3nu9///t0Xcfv//7vM5pOWK/X8jkDNi7WrChIYrhv13U8ePgQYwzPv/ySk5MTzh5c0HUdq9WKk5MTPn/5ajh2E+TG3m63jKdTnPPsI1avGA+dx93dJl7TGTpJ2O+Ex+6VFHbXdjJLmI7lmjbiia9hwM2n0ynBH7jLVaRzpqkZjsTOOSaTCcuZRDzudjuUlizQ1jowKUmiaFxL2dTcbveoWoZdPaSTJAkeRZ7l5EXB7bbh6q7k6uoGgNPVIip0W8qq4fx8SZ4m3F5f8frNGx5eXvLq9RseP3pIkii6rsW5lNQbstTgjaJuPQpFYmCUp4xGGa31LGYTkmLGdveaNNUEApvtPp5uJmRpznpze3+42gdqR+uGshZBYN12TCYTWWOd5fx0QdPU2M7jmj1luadtu6E4Z0YMxtI0i/AHwiQKvS+7+JkHAKXIi4LEJ5hIae0l/W19sB2QL/1qDyitNV1dU1X14Bh7TI/tm6G3vVz6U2S/Dvq8UqFiiq9RovRwyjuGaI9PBcdwap7npJkI+NI4nHbO0jYtKihSo4Wx5CypMXRx7feNnA9igmiMzE3atiXLU4osG07S3km3XxQFCkvnalpr0TohSUXlPpqOYxdv0KnGJDlKa+rm4Bn0p318LQo8HAp8f7H75+BAjTQmubcr919zPNiBgx3nMT4+CEL04Rh/bD88m83J85yimOAVIktvG5wTBd52uyVJ5oxGwujoj8G9hW+SCOf4GDLyXY9nphgj3WjXdbx69Wo4Bi7OJwPk0ye09xJn5xy3t+J7k2dihzwbS8F+9eoV77/3nlABo71y/7v+3u/9Hg8ePOCDDz7g9fXVgIlneU5i+kDig1nXMU3sm9/8poiWmoaTkxNxjnz1ivV6jXOOBw8esN/JyWU2m4HWXF/fsK+qCCXowfemx1KNMTgvXjFd1zGeCVvgevcm3lSCx6oYB9jDVKORJFJNxtGbKNIX8zwny5LhuvZF7vb2ljzPmUzn7PZ7ttsdxXhC2ezonMMFIstkxMPzJfuqGWiY/SnKe0XX+UGBvJzJe7i5ucFay8XFKSdFxm63IVssmUwEC79br5mPo/+INthGQk7EQE3WqVEKZTQhCE1S3rcjTQ+xkr33+AHbzoY5ksB695OKjuHK43/neQ6JdPGu2TGLiukQPFXTooOYunW6I7MiGktilKRYG0CRFkczMHu4Z9CH+1QdeObHA9MBnnrrHkcdArzf7qzvDWlD+LnNYYAWjyDbtm3xyg9QY/86IRyEdv1n+fbAt2+6ek58/znKiYXoww/KSzCO6zp8UAh5JkC8rpJkdV+X078/23V0tmWz2TCfibW19b19gogAV6uVkAxik1hHIkK/Jn6Rx9ejwCtRxGkjYcI9ri1HP1lILgQ6NHXb0lgJfuiLszEZYAheYbQsanRO5wLaaLzz6CjFFvMjQ9UGaqvZx9i6pu7Ybku8ukXRO8OJ9alSinGWY3zAodjXFu87SC2p0tA5kqAZFVMppOfTyCyQi94HG2taDI5MKZq2xLWOzUsJ5i5jRFk+HklHmWU4G6ja6IS4V9zdrPlk/5wsT3j/G4+5u7mh3G341jce8uDBA148/4Jnz55xUwWuf/rTYZH0i6gsSxkI1UJDXc3mdNbz+PyS8XhGXdfodCxdSZJxuy158eYLTJIM2GFdNWL7i2Zftmw3O+rWYnSOCgrlDRopaiZNh5QnOYorFvMptm5Y73bMZtEz5uqVRLgFePL4HQlgCI6m6cjzEZuyw0YOctIP/qxEqaVG0VYNz372Ccl4AZSEV7sDjruJBmZjyWLtufO37U6Uw3nOeCyWwG29Yz6bkSSRf9+U/PjuliRJmC+m1EnK59c3VPsd7z68ZN95cgyrxQm+aanXNS++uGK5mHB2PufTV1/ySBsm44LUpISgcR6WI0WlA1Ves/MVs2KCsyWTHG42O6azMzabNbv9louTmYQyKymuJi1IkwRCR5GljJKW1FjM6QldteN75wvmk4xtuaZLCu7ajJu7lpPO8ksPMyZTj/anlFXDel8TgDpN2XeOPFXkiSdLJIKyUsLAwXu0B6M1RaLAK7E5CJ66k646tB14j1JGErBIxKwMj9KePAmkOlDbjCZA4+R0FYAUsMFRFDnFOEVccRwqJCQmQYVE2CkOCpMwSlLyNCF4T+sdSnnSEEi1Ik/SWDtkg6nR4A0qJOANJheOf57kco+3Fu0DY6MZaU9NTZ6Dyqc4nYt7qPKSAZCPohK6JLFSF7r9fhgsawMqaOohYcpzs72NTLOKk4nnnXfeJzMGVMrN7QaCZjWbsRgXTPIMrRzT2YS6bal/cYTma1LgOXBYjwemP3e0e2ugKhfyqxVf3nuMPny/OxrYAsPUvHfD61rp4kyaDdAQxK5LyVJNkoSmrtjvS6qmYV+VYtLkPQaDURHyCC524ln/ZoYC1/PPe6zy5uaG/a5iX1UURcH5+Tm73YazszNUYlCxOzHKkGUpdRXYbDb85KcVTx5eMhoX5OMpm82efDzhg+98l89fiXHZdrsd5OU3NzdcXFwMUvyqEjWp+ODMBgl178NdliV1Ez1CigKlLbZzJFmCCZrtZkdZHYIa+s9oYErELrSfVSRJgo7dUohYZS+Bd84xn8/F2VCL1N9EJpRYEYsfvAytZcnO5lPurm/YrG8GYVPad2BO3tNsNiNJdcT5ZQ1NJhPOzs6YpgfNRA8VGGOYTqf3ToQXE/E2qnZ7jBJoRSnFzc0NyemKPM+YTQtc03L9aofzIu1Xaj6wSUZZgle9na4EnadpOlBu20byT48H3T22HULAaOn2becGG4S3+d5jrdHTCfNRjgkO4wNBQ1tWhLZDFznjbEJuCta1w3YOFfnkchqW9CW8CKC0CrQhFu3QoV1HiOprHw7duo08/c45QkDk/EpHtaqPhJcgjEt9/54+vsffvuePa4JSSgarzmHUIT6PCDPZcHB8fBsWOlbK9j+3/35JfJLUpuOvT4weoiyPaaPHSEC/zuu6Hl7fJGIoGAJ0vrun5G2aBpcbCWaJbydg6KLzbJZkgzLWKLBtM2ghfpHH16LAKw5H0d4bpaczHS+Etm0GWOVwE/p7R7D7F0CJK56TBe0I4nOnDJ1taTtLVR4CRYqiEK/vrkOZJOZ4ijPffr+nams2uz23243AHL1Yo3VoOglNCAofPNa2bHevZFEi1DrxrZCv69Wws0nO++894fLyEuccd5sNu92OFy8+R2vNO++8w3Q65fLy8rB4Y26m0ogK0nvy0YhCCbPnW986HWx8q6pis9mICdnVFSGEYaC73W45PT+nqioePX4ixc5b6n2NC4HJdIxWJma+KtAi0Gjbll1ZiW98ZCYFr2idxTUdOkkIRH8Y5wbZetm2pMaQxcK6r+oBehCMVUQho8mEtmuG04bJMoxJ4mArYF3LZ589Zb8TjH8yHzObTNjs9wLhFPcDmyWgORlw3KqqWDy5HAKS+41eKcXt+g6l1JAUBR2T0YhU5zT7kjyZspjPCc7y4s1r9kXBuCh4/PAB773/PtfXr/BBDLrOzi4o9zvGuSQepcYQgNY7Ap75bMpp06E2lm3tMCYQXEdViR3DcrWSoaaypNpQdiXLbEGSGGaTMXlmSLShyDIWWUZCwJclSkEWDK5umYaE6fwE7Ws2tw2L6Yj5JEcR2O73YqLXVHhjsJ3cZ3UX84i12Aen2mOC6KG6zhG8o66biPkLxNVFLxzdWxFohQoarFgIKAJa3Q+4EKsFMxTyY7y8L+Z909d1MitTITqINtIE5HmOCQcFdA/D9BDR2wV+YLfRxw6KkWG/2ffBMz455KsCwxru/Zj6Qa2KEYnee7rGsi9jAM3JUiCtukUbxePHj5nlCpMU+KBoWosyCSYYdlVDniKZvAEmRUK991TV5heurV+LAg/3cbJ+dzwu8F9FiRQM8L4RUb84hqFrOOy+WiUDw8Y6T9tFCEX3EXKeum0FJ57OYpdwEFrt95XQ9upa+LNGx4UVhN7mxHdie3sni78RyfG4EAhpVwl7JDh7KLYF/PjHf8hkIqlDH3znQ95/712++0vfkfeq9RBF6L2k+aRFShZynj79dMBCb7e7gbljIv64WCyGQlVV4tTZf7ZlWbJaznn06JFsit7S1C13+53AOuMZzovrYJIkoD06SEdetx3HFq8hSBKRtRZN9ObhYJDV/zfPMooso6vqyNvujcoOzKh+vnF9fS2h5KMReZ7EaxvDIeqK7XbLcrnkwfmpdNhNw3i8GAr8YT25uMnJrCHPc87Pz3n+/PlQ/PssgiRJODk5EQrodisYrY7dfxvIogf67W3J2cmKYrTE+MCmKjm1nuBK5osFZbklyXJ22y2JgdAbsB0N9+VIn1EUGVkDqQ0UeXrPxmIymbCr9hKibYxQBo1Ex8mmZVBaeOE6dJjEkOiERCva2lGVJWkia8B3CZ3zWJeQFhKwUoxybPCUTRvnJAK7tFacGYvCYJQiSUQcFfpCFnFi51z0zIFg5F70ClABI0dbue+C+Ma4tzrb43vvbYGU91786d+iOg7YfRBfmzRNY9gKw/ce14e3T/fHvPj+5/RY/NuzgP5rjr+3V9j3G0WffqWTgK1rqqZDG5g6P8yhkiRhPpmhsfhg8B6sI9qkyGyoc57GienbqMiYzSZ0d39GCrxSB4pSX+D7LrynPh7vnPI9sZs9OsYdUyjzPMe2Nd1xx5CmeDRtKyZRu7KWztAYkojdjYox45EiKEPXOm7XN5R76YJt42g6SWI3SUKWj6LaMsOgqPZ79vs9ioQiL1itTgkhUJc7rOto6pa6qWjKahhOjfIRv/Tdb/Orv/qrYDTb7ZbVasYmuiauVqckScK+FvbIy1fXYufQWWwbJOg3KNquo66EVpY4wQUnk8mAwzvnWCwWg1hlPB7z7uNHvHz9GqUUZS0CsbMz8V7xwTKezOT9Nw2hE1y6amQDrBsroQxamEfGiL5QuWg3QCAoNShXlYpZmCEM/h5d4+IxX/j842LEq1evcPF0kkd8vO32h8G1k/f27Q++ifee9W6Lc25Q8/Y3f5ZlnJyckGY9vVZEYCDwXFCKrCiw1vLly5dorVksFtx9+ilZlnF2dgaArq1YKk9G4iWeicDFGMFaE+VZnJzy6uqa9x6s2GzXTKZzXr255fHDM3xb44PBOoVSPhbMhNZaDJ5RkTGqBYpazkZc32jMqOBu3zCeLVjv78hTGf6vN3cShG0b0kRYHsTNIp+L/9DVm7uoliywBNrqFhDI6sVtzat1xdkqkXDoaGq21w2b7ZokHaGMRMyBwu4qlIZpkUh2sRchYNd59lWNdyHOtDTepBHa6QuoDB5N9IZ3LmDbjn2E7Oo6ejwZQ5LnJMnBf8ZaK9CFOfjv9HTooYt2HWmSDCK9Y0JFf8J/W0sD/BzkQlyLaZoSfEOIDaHiQN0+1rv0tOv+Z1nFcJLwKLb7PYlKIkSbc3Z2Rl3XPH36lPl8ztzpo4G6Rm4bRes8m+tb0iTnbJzw8PKS6VGE6Z/28bUo8MC94n6Mk8NhUt2n+ti4s6ZpStNUA5zTRiaJqPKaAa/sOa/WyiDEe+lSfFTQai0GYsFD03Wkacr17Zo3b96w3ZXDcd92DoVmt1uziDQoSTZqsU2LVgmL+Yo0HkXv7u5o2hrbiiKv2u/FS9x1TKdT8iLlL//lf5PZbMb19TXzlRh9ee9ZLiVoWhkzMD16aluSZVxOF1gv3OiqEmy0qqKlayOLfbvdDp9vD3/1Qo4sy7i6uhpw3x6HvLm5Zj5fMJ5OaboWH4UgHknp6SGyIh8NdrjBC6e7bVt0XMCds+zKEm0OJlR5UaCBerePAh7RO3RehlCpkc85yzJ8kOtYVRVZYQamjfcSqt178aSpWPyaCDGkacpsPh2cMdPMROqemLaNRiMJEhnNhs/17Ew4/j1/v7dAmM1mTE1G11R0SDHSKhC0IovxgsqkrO+2zBdTbjZr8iSlalpWszFl1aFALILNiCRA5wNo6cA9HoKnyBKMVoTgODs/5XrrBgbRbDIZBv395zGeFJRlSTafScdd17TeMJ8uqF5azs8f8MXzl9hoG/Hly5cU+YjtvpH5w2TEeCTFQ5sDl31X1fhOY7J8YMikGJrWkRYajXSfATA6kRNcEA68wOxykjVKzPla15FlIvU3OqX1zVAwm6aVCMRYmJP04GPj3CGgoy/IWmt0muLtwbL4mA137Op6zJzpm8IByz8SVknzc4gHlBp0sETpX69ng9X1gdpZFEKvzFIxK6PrhixZa60oXq0lzwr2u1Kai6AwaYZ3kI9G2NoOda/pLC4oVPBstiWTiWf2Z0fodJ8KBYed9nhXNsYMF7PH0fqhWN+594VQhSh8iLt00IosGVHZQNm0tBbQGcGDSRLKfSVMCuu5urrhzdUNPU+6ba0wQVqPThK+/9Ev03lH68NQNJ2T6K+yLHFRrt92TRw+Smq785YkMfzoR3+J7373uygVmE1l8by/WkZcXRZm3bbcrtdc390KzjxdSCjIpfjBNHVLU9bYznF3fUtdNXRxeBnaPc65gTfc4+69hWkP0bzz6AHz1TLSImUTnCwEO6zisV0pT9e2bLYlzvnoTmLwBHSS0rWOzXYbIRjhJldVJTd77OB76EUDPnZCeZ5zu60G7LWua0rrKEY5oyhN3+12rFYrNus3Q0TffLWktX448VmnoAsYL51iWZaYRAar1lr25TYWCjU0CVVVEXx7GAJH7nY/7J1EKMtay936FmUMaZ6Dhul4QTYq4pB0RL0vaWwJFupUiWGd1+xahXUO7xqczUQBOY5zBHug5wYcRWGYTDKKXcdmVzKdLnhxtaZqPEY50sRIpoC3zKcrQALcizwTW+xgMbmBTDFanbAPgU25I9iO2xef8fLVNWk25dvf//N0HraVpQsNXVy7aaKIsaRC0+ssCk2RQ0gUJOA82BCiLkTh0LIGkGhGhUET0FiC83ReYga1UWAMISja+uDX1BMajhXs/UOweUVq0qHIp1r45XW5i2Ip6eCTJBkyat8u7n23fQz/9gItgVokePtYcer9QX/zdl3q68tAjQwBpxK8VrhInwxxs7PWgoVRJqfQyWiCNilvXr5hPN7z6NElyjuwMo+B2EC1HWmS0pGTqV+8PH/tCvzxEQsOnT0ckn76tPKB78sBtxswt54mNxT5/mgGzh7FgkW6U882aTs3qAWdc2x25dC1dl3Hxz/4IbebjQiWlaaqKq7e3MjN0nZ0nSWPsE9hCry3Im5Jcr7x7mPeefcx3/nwm4wnheDFaUJnLbe3Yu178VCGfzd3G/b7PYnJpNufTPEoXrx8TbXfs1nvmIyFjonzaALTKPhK5sm97qeHtXpB2GCO1lbc3NxI1ztbxpmFnFJ8cMLX7QViSoMW3NBHK1WjE5quHeisrbMkLl4LQjxKSzfac5aTeA33+z1KyTXsHRInkwlZnjIqCra7DXkuRmt311c8fPgQD9zermWjGk1EIo9w75VKGI/E7fDu7m7A1ifTUYSJTBTRiW1xuV8Pw93++j548ICrqysRrMRj+1iLw4kn4KOC1iv41re+JfTXLMO3Lev1htFijFdgFKRdAOdk+GwDnYXOenwix/IeypAEI0NqNEn02tGJHu4Bo41sVk46STmdHkLHBYoMJBq6VjYq2zn22y3N/o5P/uCf0lQWk095/M4HKJPTTBagHG0TTcvwpMaQJtIotdYTcFgb2SFa44JGebAegpPsVIWcZugZQiHmpYXe6pgBW7eO4eR9TKLQRj7fY8xbRaaOSu4X2WNPqre1L8dN4DGmf/z3tzv84b1ZizVqcMU8xu7VV2wex5uRB4KSmEMTX6//v3LvhQFJ6NlrWWrE915ZVPAkxkjgUJBYy9YHMqeouz8zbpIHa1E4sGGOC7RzDhvNhXoh0GE4ehBN9K+lgmCxIUIMvc+0az1N59juS6wPTPNCClGkezW2gxC9YnTK8uRsEL0Yn/Li9StMkrDdbLnb7whe3sdoNCKkuZiREagqi+1E2fbLP/g+j588YjEfo3RguZyx328py5JyL0e+R0+eMB6P+eTpZ6x3W4qiYHl2zoMHD+i6jk8//YL1es0Xz54JQ+bNDUXc6Ca5sADyOPypvXC/l8vlsFFOJhOur68He1ZrLd9455LlyQnj8YQ0QhPbshz85H3X4UMLscfob0rrA7pzVHVN23SYGJC82+1oW0eSZXRWsFadJIPzZQhC8Zzkwli6u7qLnh8Hb59ilEeaoeL29hbvPQ8uHrLfSeD1anlC1zr2uxpljEjV8bRNINEyTG474SGPx2NG45zXr19jrfzszWYTj9aK8XgMMBzBX7x4Ie9Z6+g5P0F72eAa25IVBafnZ6LivVtjreV8tWIxmbLf7LgJHV3jUB68T3BJQpGNKOsOVIsjocgTJpkHrWV42XnB5rVnNi2Y7Qte76vh8zC5FMM8SSiyTDrbEOE23zGeLGm0Z6o1qrWcjed8+uxL/tHf/btcP/+EV3/4j5mOpuTTU85nl7z/4fco2yU2eNqqAxxaObIsZVRIR93t9lgHZdWSZoZUpbhMS2fuHHhkmKoTem9HbcVR0vkO8Bjl5Z7JBIW3wVGHg00A4VDg0yShKPIBTnVtAypQJPlwf7ddQ9mJliWEgDbHwdWHsJi3hVD9pjEoZNWhcMuGIfMUVWQSl6jk9Ldr7YAS9EW+PwH30DGAC6BMQhfZf+gEaFhvdyRKk6cpeZrz4OIhV1dXjPOU6XgkephEkaY5vu7wtcxWui5Qq5zOd6RV9wvX1a9NgT902gzd8/EEvD8i9R17v1sfF/fj3XZIeyGgiP7UhOiPXdN0FiKr5tgwrIczsqIQkVVyoGnVlQwMGys3/Ww2oypFBeo7R9WJvFzH7zk9PeXs/JTvfOc7XD58QFneMh6PePP6S27vJDz7+mYXh6Epd3dr3lzL85PpnMV8SVnVXF9f8+b1FZvNRmK+vGe1WAi2iWIUC3KeSKGcz2cAg0dOPw/oudcPoy3BuOh9WATO2e125JNZ7FLCAIW1ccDlvdzgznmsdXQxvWiwMEA2gbZt6Zy910X1nOH+RNE0jdgGj8c09V5w8fGEpq3xEd7qvVSqsmQ8EaFVua8HSpu0T33XWWOMXN/VyYrlcilhKK++lGi/NGOxWAy/k+2qAXft11s/WAUpRJvNhkcX57hIKWyahqurN+R5wcXpGa7r2NxtGOdCldwEg7cOH4J0rDpgvVBPtVHkuRoKRJIk6DTmiiodKbQiuWcnsYh3Oykatu3Q2UEN6yKLpj95eu8xzpMYTeM9V1++INQNZ/MZH/zar/IH/+wPsLs11eYWX5Xs9hV5lmDbFqOkwCeJIe29WJQmqEDrHMYrbBDvcx3EmpcQ7ykV7ln/EmQQqwnoRA9F1Xmh07qjZq23IuhhlAFK6RWo+n73DhG66VlGgzGaI+j7Kt7jetKTM3ooSKn7lGprHSEUw/dDj9sfXuMYk+9/5nEXP7xetC3uWVMYPayv8XjMajmjyBPm0wk+WPIiF7hRBbTqTwjQdgyW4r/o42tR4EMION+KQCV+KASHEjNovHO0XcX5SvDH3iYA11LFQtFTIlFgEqibhLYRk648k06jLhu22y2bXY0PGpMkdAa8t9hghfmhxeJ3fXcz4IV5kjKdzGhzSfxZ37yhqStC6RnnBWW9pdztmI8ndCqwfKL59rd+hYvzh6K4zEZ8+eI1X3z+gpvb9cBRr+uaX/nld1nNF/zTf/L/cHt1yw9/+EOWyyVGGdZXa377t/4+ZVlybYUfn6YpDx48YLlcMYtTdknvObhk3t3d0XUdy7lkjvapn0mqybOML7/8MmaRPpZ4uJgKNJ0v2ZcN+SglywvKfYXxbHH5AAAgAElEQVTtFHk6oWyFs277gAaVoBFufFeL947rPMqIXwo+MIoY62g04uXLl+LJnuW8ePFCREhJoK7W4p0yKvC+o2tryq2wfOaTKXmasms7UqRYWES/cJglbIbPQBnFfDnHOsezF1+yWq24ePwO8/kcpRRN19GGQJZkTLIxL14+JwTPaJKSZobG1XStcLyDk+HxxbncaPMYDL7ZbVG2xemAziNXWjnKsmQ5zgl5Tpd4Og8752ldR06Ltg6FI9UBHzLa1jGdTCgyKfh5mqHsmkWmqceaUG85zR3pNCdLNZvNmnHqmWUGl6SMRjm50XRdS15kvAoT7LbhYuIZ+9f86KOC06Lgr/w7f5W/+bd+k3/8+5/xz/757zCaZ/zyA4PHsNOaJBtRdYpqVzMrUkzwrEyDMZ5PbEZrYVd7JtMJXnm27VqYMUGjjUJHOqQKZYyhlGuT5SNMngOa4By510ww1MGgkGSpYGuMzphkOUUGiXJ0riPJIhUxCSjtUUY2HUlWih5S+z2EQJGl2JhhmqLElFBruhiqYxKNsp6gLEFZWpfTeocNFttJ4pdWE5SG1smJv92U5KknIQ7TraftWqx1eOcYFWM2lWgoWm8jXByZgGi6zpLpjCTVkimRacqqorIJrU94c7vjwixQWBKtmRU5eZqy3+xpvSPPNMYcuPy/yOOPLfBKqb8F/FvA6xDC9+Nz/znw14A38cv+sxDC/xL/338K/IeAA/7jEML/+id5I2/v1n131Ss++y7w7cHHV+2k8RUBhg6JfkePnWZ/PHSx00yTjNa3lNHMymAGXDhPJHRit+/YbO5EcKEUeZETgh8MuX7yh3/A+fk5H//wV5hO5xiVkRrNy5ev+PL5S54/e8m+rAcV6Wg0YrGcD4Kbj77/SywWC9I05ZOffsLTp09pOxncWm15/PgxT548EaZQljMZjRiNRILfVBVv3rzBWite8MsliVZUVUW1l2FlWe24vblhsViwWCwEz+06TKKHgGexKZDi6Y+6l/6z7rukA7893Ls+ne/uDbdCEM/3PBf4quu6ITAlEAas+ziaz3aHIPOmaRiNJ/cpdHFQ+nb3V1UVt7e3gyJ4tVoNJ7z+6/qT4M1uzcnJCePxCJOGeD1TbOepygaCweiU66sbPDBbLihGI5aR+tq1FmMS5qMxqTGsOzkFqUSTZrkMH60kKKm4EQavcNajExH+HHdoSinxPNcGrX2Ejbp7J9v5fB5TnO5bYHvvyUyCSYUFMpvNuHj/fT5675Lf/d3f5S/+xb/Is6v/mb/zf/5DHr7zHh/rj0mTlBZFZ+0wC5HuM3bZwQt0ESQZKjiL0ZAliXiwWCuYewhD6Pjb+PYx9t27VL49CD1mzh3P4I5rQv841sYcDAh7J7SftyU+Fji9/TP6Ienx++gfWmuqphKISWmC608CbsDXB1omZvAySo2hdu7n7pnWiWr+7m6N7RqM9tzdBeazaArnD8EjddswnhT3PqNf5PEn6eD/G+C/Bv67t57/r0II/8XxE0qp7wH/HvAR8Aj435RSH4YQ/khXhRCPft4fAjK6zg7Uv17g46LQI4RjcyP53hDETvTw/FEepdZ01mN9EIgjCJXPBVBo4ZG3LS7CLlmWMSmkO652e6qq4uXLl7wpW1TwLFdi0Rq85/b6WlgbacZf++t/nSzLeLN+wea24tNPfsybN9e8ubolMRlGJ2SpQZHz6NEFs9mMFy+/ZDab8aN/41+nbVs++dlTfvu3f5v9fk9Tdzx48IDvfvQh08tT9vs9aZpycnJCog13NzeDUVKWJIMa1hgjQdmxgE7Ozvj888/Ji5QPP/yQ6XTKZrOhrmum8xnBS37peDymyEZCsYxQkLVWGENti+0OM5K6bu5dH7nZNISjwVpkHex2O+bz+RCCsFwuB2YN/c3WKwOVGjYtY0Sl2XjH3d3dAG2MimzgRUvtcNTVntlswmg+5cGDB4xnU6pqT1lV7DYiPCuiM2eaSiattZbr62s2O9kULi8fEALs9yW7bSXMEN0xnc9Zr7dc3605u7gQJ8yAdPoexkUBJmGxXHJ9cyfsEB159k0ptg3KDIIWrYQ5IXOlQ9TkOC/o0GQ7y2oxp2w6StuRFArbtDx+7320FkvoRGuyRKAdvKetd4yKjCJLefzkEX/nb/9PqOqb/MZf+Xf5b//2/8hyOefXf/3X+PyTn1HdXXP5+BtMFzNeXN2ikwTb10kNbbB425HpPK5zi+sqkjRhNs5wFhpXiSFQkNSwXlktRnDZPctvKV524JOLa+SBvdLTI48JAdJMJH1dAQ5hL32Bf6v2/FyTePx8/9qJyYbGsZ+tDTTJcIB9inzMfldRlQ2jfAQoyromMRm666KrZEIaJGZUm8C+qtjcyVwpzXMCHpNnkBgaJwZzOMiLglevXrEvJwKXZvI5z+YTkibDOYuzlrYp/6iy+Sd6/LEFPoTwW0qp9/6Er/dvA78ZQmiAp0qpnwK/DvzDP+4b3/Z4ONzAX+0r8fZU+3j3d07UYTp+vw9HC82JR4eKr5HncuwzSuFjPFyepOz3O9q2ZbsW7/e2sSgc09k0SvM9YLi8vOD09JT33nsP5zuub9bs9w0vX77i+uqO1OScLc/ld4uc9t1+y77U3Ny+4V/5te/wnQ8+oGlq9vs9f/8f/D2effE5jx89YT6f8+f+/K9QFAWfvHrBeDzm/PwcgHK3HwaJeZ7TVFE1Ox6zXq8ZjUaM8oyyLHn69Cmj0YgPPvg2J6sVP/7xj3HOcXp6IqcRNHkxJs1zbByk9RTT1tnBe/xtuhhEH57eFyXEQhavZY8Pp2k62Mj2zJV+E+j/3rbtIIoq0my4rlVVUcdgjmPF4fEQDaRIjAthJrWRr9z7DCW5FJxxIYKYu5sb2rpjNBaP+uViRZolIlsvxphZxmQ8J3jFZ58/pWnvhCliDJPpkkAiMWtO0TSOxASMyYf3pbVGaY1zbw3JlCLQi/L657zAXUbJ3zFkiQaTMspyKmejmMgPCm3pHP0AQQCMigQVHHVZYZT49l/frPnxH/6Uj37wAz57veXJkzFPn73EVRW5VoznU7b7inXTiW+MUpJ1qjVegXIdRhtMokm1GPZ5JVATXop7iC6T/f3Zs7QO96UaBqs9Ht4/jrv3fi3d67xjaAdB3C2Dl8hC7+NzEe9G/XyB/yp17EChVgc/n/7PcYdvrSXNM3TsypVSiFuPQRktgTfxWufegHG0jVhgOOcGKCloBVoUwCGJEKoxGCUzrrbp8C5ggnhqFUWB0SllbJ68+/8Xg/+PlFL/PvB/Af9JCOEWeAz8o6Ov+SI+90c+fAiUR54wclzvd+4+OT6JO7qmbQ+ydmOyoYsNQfxnvFc426GShBB5urUNbPcN1geKLEdnhjToIf+zDZ7gA6++fEVV7XFxMYZYoHpTLqVUlInnAwvjnUePKcuS3b7k+fPn/PQnz0nTlN3Osr55I1F1Ron4yijyTDE5n/HO4yf8uV/9GOccf+8f/B/88z/4MScnJ3z8536FH/3oR7x+9Yam6+jwfO973xM/l6jGnM1mdLEj6lWqt7e3vHjxgocPH1KWJT/72c9I05SPP/6YPM/5/NmnfP7ZZ7zzzjtyM+bir5FmBdO5WPK2bYv1flCtDkXLWowRpkxVVSQmGwrseDwWuMaJ8KqH1fpjsFJqmJv0nkM93NPbMPSbwXg8lk42Yv1NVaGiMAvkRNXDPD2+36t1DY79dsPNm9dMpmJJ7FVgnKU423H16uWwKc7OFrIBOAet3Nir1VxuKiVhynVTUeRjbm5uCEZTjMc8+/KlhJCMxzIczzMqK3md1zd3zGYzrPeMRylt48kmI4wTfnTrFEmi0alB+2O/dKE5KjxaiUdN2VhOTxfs38jncnFxwXpzi7Uz5ospTSvQXZobsjzBNSL8ujw7pQwtqJRPPnvOf/+b/wN/5a/+BmdnFySvvuCHP/wBN88/52K14PzyIY8vTth8/hx8wEcSSDLKCNqTlg0mKHKdMckLvLVU5ZrgOpSTiMAQwz+yvCDNksEfXe5dhT/KHOgFTr2wLjHJvYbNeTcUeBE0+mFYqbTCO0fVNsOJ3vT2Av7nC7y1B3HT28P+w0Z8iP4EYVM5a2mqks12z+lqRaJTyv1eqLNpTpYX7OqGfS3Dfk3KOM2odhVtXTMbT8TcTitMKsW9tRadZRRZy+2uodzvmMxmzGYzdPS86ToZTgccJhH6tjb3Iao/zeNPW+D/JvA3kFPd3wD+S+A/oAe+7z++chtSSv0G8BsAp2cX9ywIjrGxY+wXjqffdvBRfxtv658b/o5M8dvOxWNoxG1VQnCBpm65vbshOCfZnlVFcHKEW8xnTCYTkbF3DSYxnJ6eDoWlKMbcbtZ0dcPv/uP/WxKRSoVze66vbtD/L3dv1mtJluV5/fZg45nv5EN4TBkZmVnZmZ2VnQV0U6DuUoN4QYjiAYlPwAMfgqd+5QM04pWWAPHQIB4QCIRUVVR3J52VlRU5RGREeoRP1+907hls3LY3D8vMzvGoaqqpaEGoTHK5+733nHvOMbO11/6v/xDkwimrgjxLSVLLZJZwcb7i+9//PtZarq+v+eSTT5jNp3z44Ye8//77fP7s2VgIBy+ZoaA5J6EEdVVxcnJCCIGXL1+SJAnf+MY3ePbsGQCPHz8ebQouLy/J85wHFxfc3NwIT3w+5cGjR2hluF1vpNPobVZH2qrWwu+tuxF2adt23OoO52pQAQ7d/vG5HDrz4VwmSTKyaIwxo3/8KE5y+3HOMclzUJ66lq58KO5JPMSqGbRWdK5mt9uirRVcs2fBKCVRa/P5nLxvHq6urkDfc35+znwmHv1t0/LpJ08PrBRjZFayK2iahsXpCdvNjg7F2ek5ZVFhtKWtW9IoRs3n5EmCV7IIyo4hwRolFDo0roOmO3C+6cO2x/g8xDUzTSKa1pEmRjjSXct0Mmez2dK2FbPZCXW9xzlP5xp0EpGl0Rh2cne7Zr46ZZUZFlPL51+85MMPv83/8k9+SZ5P2d5esbm9wdUVaZQQWUVb9wHESNepjCEyEkatgyPW0GpPcI0kQSFzBBU6ETTpNw3DBvfO43v3+L4cIvW+jLP/Rfzz4f/Djg8OMKBSCvyfLzHHlOvjWc3AzjueXwxf01pDvygYE1G3HZVrKHdFT8/W0OdJuNbTtB7lJWAFL8PmATqKIhncK2vwQRab5WJOsd/Rti2TfMZieTLucoYaFhnNrqhGt9uvevyVCnwI4XL4t1LqvwT+x/6/z4C3j370CfDiX/Ac/xD4hwDvfvCtELR0c/e77biNG4IokjRBR5batf0gr6NqG/LZdOxoBztRrbVw2X0vsAGaNuC9RkUpi2VKUAq8Z1/tKe+Fc+1bKQi7zaYv/oq0hziS2NK5hg/ef7/H41+QZxMeP3mHuq75P//oj0UWb4XC2dTtqIoMIdA1LWmyQGsxInr84JR/7Xd+SJJG/PjHP+bZs2f86Ec/4tHjJ3QEbtcbTBQRRTHLsxnee+o+g3IQZJ2sVuyM4eXLl6zXax5eXLBcLlmv12MM3nK5YL1eMzQCl5eXZL3QB2C2WMhnrcPoy3K/2eN87xLYY51DB15XUvzSNB3jCqMoHnnr+10pMw2EUTAMTkGCRfI8H4v6arVivVmz70VlcCh8YZy1iDBEq9AbmSlhm6Ak5rR1bJtDEd/c37FYLJjO51KUFwvmiwU3Nzdst1vu74Wx8+0PP2RdNvgusN0XWBOhdESWJ7hui40Vk8mE2XKBbj0vXrzg6vIS5z21a0fL4bqumc9m7CsJj56kcHp6Sp7n7HY74uWCtnVYGwvmjqQ6DTi0XOdB8O7IkGcJVRuomxp6xs18MYOg6JwkmkmS1ob5fI7rc2vnixlGBWaTjHJXM1udYbIFKtb86S8/4nLdcvroHZrWs1xkPP3ZH/G7/9a/yeWzT3nrm99mNZ8R7u+pXIujw+KxBowVbL1rGopdP0jtHMELA0UHKWRJGmPGYOwBIpFzekzVFZOu5qiomnFHrHSgqkoC4cgoUOGORIlaS1iLXF99TkQPWw2/d2gAh2OAFAfcPh0w96Ydd5p1XdPEEUaL0ng6nVKHQNt2dM5hIgl2z6dzIWnoGBXFlLsdykndqZpW6kr/O+M4Js1ifNuKgj2yTHLN6cmid60VZ9sojunw2BDEbtjA/d4CIsr8qsdfqcArpR6FEF72//194Gf9v/8x8F8rpf4LZMj6IfBP/tInDOJt0dQtu+1+ZE94LwyVJE7pnFwUVSXUptD7sLR9IMbAddVK0TaOLJFOog3gOk/ZeLaF0CNHXK5zox3u5m6D1vDgwQNc27Lpjfp//z/8D4giw89//nN+8uP/i/V6ze/9/X+Hk9UZP/2TP+XXnz1FoVksTikL6TKVDcSxpalqUJDnkVgdu5p5mvO97/0WV5fPub27ZjJd8nf/7b8LGG7v15SVLFyL5aKf5le0XUfSY5vLnq739DdPsb3A6vHjx9Q9M2e1WqGUqEM//vhjgSGamslkwt/60W+zvrsbk5raIB36gDvWrkUZLcwPa1Bt12euirui79WUu92uL+7R2OnKOVEQpEPf7/dvwDOy25Hte1EUbDYb4t7W13tR8w0aBR0Ojn5WawhSVIbO2miDwtN1blxorLVcPLogz3Om06lAL0Drah49eSTMHd2rk/cbbu72dE5wToUhjpMe9tEYFY3xcSfzFFdWfcet8VpR7wsu3St2ux1vv/02kzTDxIqyEpbQyckJdVkQR4bQebrOo4xB2YiiqugI6NDhvUYrhMqHJs9jdOOpnMOaQFnVuLrl7OyM589fkKcpdSnvd7mYkCaWxpVExpBEhtYFGq+o6pZ88RDXVby6rdk1r5mcv4vDcH17z+3rlzTVhtJ5JrevOZmfstndY5yIA5u6QKtAFDp078bpXIXygaoWSw+rDTpSRGkiUXlx3M8DhnmY3NhDwR1smvv6MZ7L411424rB2ICfN9XhnItyVo0ZD0b3iVJBjYV1eJ7hdw47YDEEjEiSZFwEhnhB59wYBOMcqN4tsm470MK2i3sWnUdR1Q3boiLJJmgb8+rFM7aVQHmzxYI4TmSXaS1Wa6k36N6mQyIqb9drgoooG3lv88UUaw2qFWVzls/JcphM/z+I7FNK/SPg7wFnSqlnwH8O/D2l1G9LaeY3wH8KEEL4M6XUfwN8BDjgP/vLGDTyS4bA5vaNbcmxanXAcAeIAA4n83iAMhSVIf5OdQrvm3Fo4fFjBz94yAwT9cGwrCgK5vM5H37wAc45fvGLj/jnP/4xKp/x6NFjptmUFy9e8JvffN4PDWWS3tQObRKiWIQ/w9bMdTVNW3F+suCtJ48JXcfN7RV1XfM3/kbvirjZEjzMZnOiJOkFRh110/W0QoFqiqLg7u6OPM85Ozlhu92y3+9J+jlBmqb89Kc/FSMxJ86Rv/t3/jZnZ2fc3NwwyfMRM9c9B7vrDuyFKIpwPTwSxzH7shxNvoyx4zA0ssl4XsZIwCgdGUltb9o2bD2T/j0NsWTHQ3FrRXRTlqJWHQr8sBC3VT0+BuPBePb9fADv0UoRG4uNIjEEM4ZI65E103TCBNJjUpcfi4xSmjTJ0MoS2QRt6GMVN0RRxH3dULuW9955m47AJ58/5eb2mvc/+ICqKtlvN6RxBMFgbUzZNyAD7dQ7h+u9Z2qtKeuWrqN3ETwIdlDSYcZWo5XDqEDXNfhwIBwM13ye57Io9qQApfrFx7c0bYdvAyrOabYN3sTk0yWn54+w9nOaTrIJnGtwoabrHInVUjhVwKL7SLkWQjd2ubRiIOY7CawwxmCNxegI9SXyw/FrHf5/6KTVCOEcDziHh30Zsvny146fb+jgtbbj9xR/MbQzfH+oFce+MsOu8vhnh/AaZRU2jtDaUPfmbXVdY9MMYyLy+azXMaTEWSrjm/73DkluKIX2AUJHud+x3+9J8zllLZGRUWyYTHKCkdddtlLYjwfSf9XjX4ZF85/8BV/+r/4ffv4fAP/g/82L8D7w6vXVWEgkYT0miSUya1eUI+/5/n4zTup3hfiCDwM451s8ChsnKDWcTMlX3Zd1bwSk6VxH2wi9b7+uaFqBgna7HdYoHj16xMMHp/zZRz/jf/jH/z3n5+dkeYrNJnz/u9/noz/7Ofv9nrPTc15f39A0HVoLw2K/36N0oGtbFqsJbeOodiUnqznvvf8OSnk+/fQTfudHP2C5WvDpZ5eEAEpr4ighSXLQmqJowGjmyxUKQxJJF922Lefn5+y3O168EIrlZDKhKgp+8YtfjJz609NTLs5OefjwIXUpbnYffPABvjsk2dc9zt52kmdpEHql68+BD2rstrN0iu/CmPw03LB1fbADDiHgOz927wP2vlwuR+pm10lAtlKKzW6DVrIglPv96AUfXHdQx3pPot+0fz3mtac9c2YymeBTTTbNidKYqqpIJ2LXEGcp+/1ebAj6155NDMtVBkFT7Gqc67i+vethaI+JoO06dq8vxV/GKIKCLLakWUakAudnKyZpxn57T56ejzTPsixZzCcU5Y5plvdRlH2WJ8LXD3HELI/7r8vimiUxcWyYtqC04fp2zXQ65/r6mvl8zs3NDQRNlh+YSENxs9ayaUsCGhMlnD54wouiYnH6EIfhV79+ys16h7IJjx5fkOUp97ua4B0XZyeykD97Lu6SWtF4T1UfKLBDsTFxJBL8fjdmjs494VB4ZcD6JrttuB+HhK0h39haS+f7HaE96B2G4SpGg9Z03uP6z8r3Nd91jjQ6lLHjmd1QvAcvpOP53agmfoNN0zNzgoe+4Yu07VXGkvrmghcVfJ9SdnIh4fSqDxfyTvKETd9EanoOdz+nOD8/x6MoW0XTtOx6NpxSkK9mhNCRZdN+N/vXJHR7wFoH06lhazV8b+gihq3ecVc/DOuGgc6A9Xnf9hfVISTAOUfgIJAYC4bzNL5hv9/zrQ8/4Ld/+AP+u//2H3G3vh1DqPfFjm98+52R8hdHKb/65NdoG2FMn0jUdlgb0YWCQO8617Xkec7jx4+5u7sjhJYf/vb3SJKE3/zmN1SV2JCenZ+TT+c03o9xdXESk2dT9vv9OCTN85ztdkvXutHm9unTp5T7/ThMmk6nI/OnKAqSyLJarSSLte9U6rqm95KSQsEgtx7SsgxNJV11XddMJwtce6A9ts3B5XMMQK5bgT38oGVo38BHQQrRcN4m0wmRtXz22WecrlaH8G99SN1BKbTyY5c1dIrHlNrhJn34+NEoOlkul8wWAnMNM4JZzxRar9fk+RSFoSxqbm9vAUWaZKSZYKdlvePm5prm5oabmxviZ8948NZj5udndF3H1dUV8/mcbHXC9fU1Vms670jT/MDe6L1X5L1LYMkhxs28cf0Lbi1MsSiKsK1co2mactVcjzbGRkc95GD7jrUX7Q3Og9pgbMQkn0mhP3tA8C1lb887UBmzLCNx1TisHOYyyr+5mMopkA578NkfOvYv0wsHOsXxEHN4/OHnDvbUXxZDDffk8XMMj/+Lasbx3/+iQymxhzgerg7HcE0d7zQE9hkgwuMdRnjjPbdti1fgq97uWAnUGGs7zsCG86586O0rpLlJtzvWuw0OsZ0QG+Kmv5YV2lpwju4veW//MsfXosA71/HZZy9Esj61VHXJ2dkEYxMuX9/QtOJJ8vT5S6bTKZmJ6LTl2fOnACxPVzJEQWGsIooNsbdoIhSOpmxwdb/taWUVpu9Wi/aW2tU8vHjAxcM5H330E378T/+AaZZzvjjh+uU1k8mE3//9/4idVvzvf/B/sLnfYU3EYrUiTTMuL6/R2jCbTNnsdoSdJ1URtnXMY0Og4eWrj/mbP/gB3/rOd7jb7vnJJ8+omprTk3NmyxUkCa3RaGvENz2O+tnAldAA7RTfijOhVRlBVVy+Epindc0oLsmyjLOFmI6tVuJXXxQFs6ntI/QO21SvNEk2Ad/ROUm5mqYZTduxLxrqXYX2lsVkRbETczSrZYw6dCvaG8pNPXpgV64aZyJ5no9RZ3DgwA+LdLkpuKsqThYrcW3qPE0vnLKRJo6lIE1s4O7uDqKIMGD2SUySWparFVEUsVwuCd2G2WTC6uyEzmvKxuHRTGcSYrJZr6mqgt2mJIkdxW6HsYrzlWa/31GU12T5A1ATZosFy9NztjZieXrCy+fPuPz8M8r1NXGWcvHWE8pNYJ3PyWZn3Jbw1tyS6EBqDW1REieWLI4gONq6Ynu/ZjKZ0KmI2kPjA1Mbo73QcbPUyiA0Tcl1zH2WsjWORa6pi3u0d5w9uGC73ZJlGVWhWM6n+KqlKlsm6QQTatq24p0n58TmQ/7gf/uM5x//jLrY8J33nlCVJb/37//H5PGcRFnm8YJQeqY2ZTWb0vmWigJjDUFPRgy76zrh6Pf5Cbq3hvBDEevxCGV6sZBvJaYvSMi1QUtoturQreQPZ1aR6IBva6Emd5LSFLyXYHE97AZ6p9ieqUJQ44KmvKJopBtvlBcQznt0AK08XdNSVY04OBqDomNXQekiOmPwwRHqLV5X6GiOjSY4kxA5R7nfsev1K1obglLoxBKlsbDatEYZTaQMVnUYG5hmYEw9kgScD3RoQlDYENF1LcvVGVXTsF6vmceaRw+XzGYTee8hkId7YtOh0r8mBb7rulG639QOpYVbPWYftp6936M4BCUPeZ1pmqLQ/QWlMP1kHq1pvTzWBS80ybpDmwgTZAUWm12hWaVpyna75erqisViQdCKoBUPHz3i0aNHNG3LT37+EWVZslwuUWiaVib/Ion33N6sBUdWnjSOMNpTViVxIqyMt99+G2Mibm/vqKqG1om60vbBHqrvUJ2X1xuUiGs8jF3y0P2u1zc0VS9umuTE1o787HkWxq0vCPOiaRq22+0bXYuO7GHgPO6YDhYBdZ8Ob61lt9/0RVx2nAMrYb/bY43sarJ0MnbVAxNiGGINtMfhPUwmE8pdMT7PMSGCy6MAACAASURBVKd/6LqsNiPsUzUtJoqpCoHqsslUVJOJLGY2MkRZTppPsFGKqzsgiAVF01Bs97y+vKLc74TXXFU8ePAAi6XaFdRFg/KB7d2GrgnMFgm77QYPJKkUfB8krOXq6orl+QWDbr1tKs4vHlJUN+P70wS0ivqi1Q8OowMkoLTpM229+KeEg1gotiI4mkwm7CvPyXLJtmhGyKquG6Z5Dj29brS/VqbvVj1JnDCfz3n+/Dkoy/nZA7SNOT2bMDs5ZVc5ojjr06lE0TmfTlE4CtPQugjlJRCdztGEAS4YzXAJ4cArN7pXD3qF0kEMtxigmYMPu+KgcB664WFmMxxjRz9Snw/dvVeBL7Oxh4ZFun8v9glvqN093h92FAMk03bdaFV8TLMedlSD8nZgtAX1pjna8FplxhRhlDhTimnaYQ5glAilQghCndQxy+US+vt6Mpm8YaJotaZTohD+qsfXosA3bctsvuT27p7pTOS7z56/oqrFunYyzQXX7LfcddWAki1t1GciEhRRHI3ft5MpVd1QOpGDBwTXy2xM5wLlrsQ1DW1TMZvm/OxP/4T1ek2Wp7iu5fHb76OM4cGDB5yfn/Mnv/yIPM8xGG5eX6OM4eLiIQHNp59+RlHUTKczJtOMxMow8vruijSO+Z0f/S6P33rEze0dl5d3vLq8Is3nvP3We8SxDB/jOD54tIRA27o3/K/rvXDAt9stIQSyLGW1mJOmKXFiJY3dDAHGgu/VddPPLe7Z7/dkWcZ0OgUUSZJi4lSGjt3AWZaFs2kcm/vtCH8ppajKGrFWtTKAArZbsU6oynpk12DDSBMbMOndbkeWZdze3so5yDLW6zV0srAO7nxxHGN7tWmgGz1n6gCnqwt5PZFmuVwymU+wkSHJxXo4n004e3RGVdVsNhVRkpJmGZ3zfP7pc+7v7iAEsjglzg1FZ9ld30Oe8+DshKuq5fnzL+h6elw2nfPo0WNOH5yy2WxYrE5o2hrvHY/feptPP31KOpuS5nOyyZSnn33Mo5OMq5sb0jjm7GQl8wrfcXF+QpJJw+K8ZJhqrWkbR40nySNxZlRaWDwWtPOcnUy5/PyG1WxKZFuKbcH93R1d01IWFcHDyXJJ6CTjwI5BJyKWmU6nvPfee7S7Owye9959wqPHD3l6s6fuHG+99y06m6CsJosS3nlwQppaQjtH4bnbbmlbSca6fH0tn7+BoAKR7v/uHUzbPkgcLe4FSklGceM6qrqmqBoJ77N9IptW6DgiGE3rWlxPj9RxBMbgleqzXBkZNNYirJkQRi+fEIQoMcAvVmILhGl1xKUfFo1hIRggXWNUn/JlR3i4Xy9HQkEMAr32i8VxBKXpzIFEoAIqODFIHBbscPCHV/oAaZ6cnIxeUFmaY43sTAlKFgodiM1fkwKvlWa/L9hut7zzzjtENhYxCrLaulZc3oIWvEopNXqKDJ3qwKfVWlJ6uhBwQQROIk7oY9I6RnZD0zRYpbm7vmF9c4sLYvE7mc0IPU5towjXdWyKPfurNdfX15ydnmNj4X9vNxJ2PZvlo7qy7bZs9xsmkwnfeP9dTs5OaVqhdO73Jeu7e37w/reYTKbCju67gqGbGTpYGDzWG6qdSP0H7/I8T4itdF5JGqE58MibRjJMNxtxWgxBvKxXq9WIR45UtJ6zr9Tx3OLQEbUju0kUiGLx4Gh6Xn4cJeNF77oGYw7zkGOp+PFcJYoimQ1YGTK63vBNayXdTicmZvTvyZqYsm5xznP+8Jykp1fq/v3neU42SalqMX+aL+dYm/Ls+SXru3vub+/ZbndYBY1SFLsNm9t7qmKH71oePzzDKKi2a6qqIskzVpMzXHHP69fy/k9XC8qq4OrqEpvIOUjjmCjSxNZwf3MLJxlt68h6xtCwC3JeAjUGFtgAUcnALtA5GbINmLokI3myNCHWoIM8fjbJaO/3GCUD8dBJ6LXuMWEQq4qkHzoqDd/7/veJfMv69jV0jqfPnkP+ABtP0UmK7mcikdVYo0isJrYp1gTyTHYgeaJJYk1Z1GyKkuCFeuw9uOCOBHJBpp8qjIVYdhgHbvpw3Q33Chy64JE11TPmTC8EG9KVjv8Mzz8cB0wemdscPd/x7/DhwOAaVLJC2jBH84A3bRTGr9MPkc1hZylF+U38fvj3OGCmD0PR4DsPQa6DgV48RCaOC0/XYXpnzK96fC0KfAhwe3vPdDrFRjH3my3GyiCo846Xr16PHa5YFMhqO8mnnJ+fY7TpB7ESwWVtROuhCV7ixKxFOcizlGJf0TQtrm5p65rXL58RxzHn5+dMF0JRXN/f09zd8tZbb7Fvav75H/8Z19fXnC/O+eD993n+4hXb7ZbzB4949Pghry+v8NAPYGvW2zVn5+f87t/+O0zznJvX1xT7ip999HOKsuFv/ev/BnGS0TpPlMXYKMbYhABstr1oqA/wHgRCs9nsjcI7eM0Ir3xH13f3RVGwmEgBXSwWrFarg0ouzqh69avWmqKsesaLOCnWlRiKNXWvoguKq5s7bm5uRjsAZTRd56iqhslkwv16g0LCwieTCbVrxs4kz/Px5iiKYlyMB3ZNHAuWGcWWJI5xrh0XIOccqhfSBC+sjQfLJbtqS1cG0smE6SxnOpvT4SmqhlTnZNmEu9sdz579is9+/TkAWRSTpynV9p67u1uuX71EmYa3Hl/Q1oFm/4LYGlK94xvffMxms+Enf/Q/keQZuzBjsVrx+PFj0jTl4uICr+B73/8um/sd2nds72/41vvvst7KNaxtxHZfoOn1BVVLoxuho4bAbluSJznBGIq6YhJZrJFoxyhSxJF4qC/SKSfTROh5rWeWRWTpBc9fvmK5XIqN9PWdWCZELVHkWC7naCb4tqE18MMf/pCPf/ER7HecrZayy1q+LQtulDJZroiTiOAqYuXJDGRWkUYRdefR2vLo9F2+8c5j6sZRVY6ybvni5Su2u4L9vsSHQFk5UNJZe0ApgUq897iu6QV1amQ8TSYHh9ABRnHO9ZkBshhM87xv3IT3LkW4hz56K/E+imasJcdD32OY5k0mzyFDQmv7xmIgTJvDfXYcD3qg1vZ+TM6Tq2wcqA9Nluqbk4BAcPjendMehsjr+zs++fjXeO95+PAhs+lCrAu0hp41Nk3jr1xbvyYFXjrMNE2Jo5Rff/IZH3zzfa6ursgnGVoZSQ7qu1zvoW07ZtMJ+11B1HvIR0Ym5Xmes2s7jI4ofQlotLV0rdC3jDHc3N2x325JkhTnPSdn56A1d/dr4jghyTKevP0uf/zP/qkIiE7PeHzxmI8//pjIxnzwwQdCTywbXNeSJAmvXr2i6zrefvcxT548EQ523XJ7s+bVy0vu11smsxmLxWLkPVsTkaU5dV0LFRShcd5c3wLiOdM0Da0WReDAJwdGd8m2bdn30M1qtSLWjuVyOeLuQ9DFgPcd6whAaGtF301UVcV+L11aXVdCHbWWOEqwJqIs6/FG2W7EYmBkv/Ssj6qqxh3IADO1rQSND0PW2WxGU4oAS3zE5b1VfaLSbDZjt9kKfBUlRGnCttwRAmSThPPzc1rf0gyeRFFEHOc0TceLFy+5vbkj6bvEOHiK3ZqrZ79hc3/PNE04fbjEt1vaesf1zWsiE/jmB+/zR3/0v+K9Z75YoVSNcgmhLSi2txi9wrU5u6KQNKeLC7abHekk59kXT8nnczqvuLy85OxkxWoxJyAQYl02BN/2PkbR+Nl0rsN5eope3wWqIFGOTcE8z7gsbzk9WfH580vKuhaF7lzcNm9ubnj48CGw7weirfivRxGpi3FdSzabcsYDOu9Znl6wJiFKUxarFTZOGYKmI6vxnSNKLSqEcSfgvSOLLImNMFpCd7R9Ql01XF5dU5YlayWWDq4TtbZREW1oUWOAR6CrHYEDZDJYBwhRoB2Lr+0Dc+pKdjpGC4ccGK/9zvcLihY45ribPzDk/Hj9jQwdZei6ahTfHdh3fXeuwxuLhMAwHUo52h4GtT2UOjxnNMJBvnd6OIr1ky3FuDgM572qqhGSbZuO7XbbQ5k581MJ29ZfHaH5ehR42doY6rrhk09+zenpGa8vr9nvC1nplcF13WhXO0AynZPpfetF1TjNeyyrg+A8rXN0jaNpOloXKEvPvqoIXUc+m6IjSxr1MJDXuM6zOrnAxpL+8+tPP2eaLzhdXfCTP/0ptoJvvvcB+6rk/u6On//850Avy3fi175cLvnwux8wyTKuXl7z4sULXn7xiqZuefzkbd5+911sbDFJRJRE2Djhfrtjt9uNmPPA7dda41FMZnNmaTzSD7337Pc7dhvJFW3aiqooePToEefn59xevaCqm3F4M/CAfQClNMYKs2W72aO0QGBNI7GFbSO+eW3bst+XVKUIz4xK0Erw0BB6rNCIC+SA/btOXDcF5xd4aeCqp2kqeabec3JyMiqPZZ6Q9cIzN3b4TevGVCZiaDqh9J1enLNcLqlbRz6dgYKycugo4/nnL7i/v+fzz6Vzn08yIgO7m2uqYkOsdizThuA2vHx6zf3zZ5AlvP/OY/a7Lf/sj/9nuQm15ub1FaBBnXK3tUTqXXRXkMSBST6nrko++tOf8uDRY87OVlxfX7O6eEAIQUJTEuFJN1XJbDodv56lnnli2W33TPJMBtR1gzEZNihsCFijMZHHG3h4PoVQ0mnN6TLl9SfPiLMpu809s8WCFy9Lvnj2lLefnOO8F1NIrYliAyHGOc2Dt96GV69ZbzeENOV0+lD45kHR+RYba0LoUEo649Y5HAHbo8dBafGpCYqkZ6glcQxK8ej8jNZ37LclVV1yc3dHWRXc3W9QQdOZQKMDsZZgFG0iYmuJrZVOt/PjH+8cLgA9hXRXi+YiTgSKzfOcpO9qpYsXtpVzfz55SWDHA+99FOtZdRBv6UM49/Ex8OVBir64s+bEPf2xLEXNG8ei4hXsX7zzlQ8EwXLGPAWtdK9qrUc4c7lasNvt2Nxv+98JL168EJLExXnPo//LNaJ/2fG1KPAhBBrnmPfbzukc9mVF6zs8GudFdJIO4gUTjawSvML5Q0r9yFlVCj/Y2vZycddz4kMAHSckaAINWEvVm2TptqOq97z1+AlN2/H0N59TFAWPLx5xdiIDt08//ZR9JWlR2USoZBe9F8xsPiWyMVXdcn1zx2a9J3jBzler1ehPk2SWKNJURUPTyDa+qiq22x1xnDDJp0dDUxnCVpV01KIIdKNpV5anvNU7SH7yySc8PF+Kl8psxhCiMZvNxs8aGG0f0kn+xhZW/GM8TTNslw9xaMfK4QH2OWZDHPt1D+yYwaJgCP0A8Riaz+f4VnZcnXe4psH7Dtd77czmM4p9MXKmlQITWybTnDRNqXuctm472dE1npcvL8WytelwXUMRHJM0pq13qG5PV2+oyw2b2yuc2vHwvccYDc+ffUpTFtgoEt8jrSnrnr/ebqAO1Ls5+9Bhon7bbHLK/Z66KAmuQ3lhzzSuHWmFh8+zwwfp3JrW0DaOOBJrBhUblE6om5bYWEKQFCAljrjMphFNPWFbQZZGkicQJOHM2BVKQ1HuUepi/J3mCEMOQWzBTs7PaJWmLCosYLXGWC02A8ZQVY7YBjofaFzPRBlseEG6ZYW4TvZYu++vi9gootmUNoslvaiakKQR9+ttbwfRUWcJRikaNLGNhCHl5XsKCfZW/S4zSQST3u+qsQMfrqco7kuW8uJJdMS3l/fcwy1HrKRj7H54roGlo79U5L/Mqx/YNNZGpD1k1B7dF1/m0CtkjtQKPjTm1yogqEEjIjNE8aIvewV3RxJnTPIZRdUQaYP96zJkFW/liMViifee9d0GpcGaCNd2o4fF4IWdpqn4RVRlP5ToI9y6gENcJjMbcV+JGVBdt1SNp6o77jayYnov6k2tYkrXARalFeutsGs++fVTvnj6lO985ztU+4Jf/epXvP7i2TgEjYxhdbpisVjw8PFjqqri4aML5ssl11d33N7e8uLzl/i2I04mZD3kEycRdhqRTxKarmWzESHRdrtFa83FxQOSJBm549J97Cnur8duV4RccLqSDndfbEeW0Ww2Y5LLsHlfyudzen4++rF3Xce+d8wsy5IoEYdF34lJ2m63o2kdV1dicyxKRSOMiD5YeOyAeHNwZowhm0xGd8j5XLaat7e3I1vGWst0OqUsS9JI7A72RYVGFsH5dIpSipvbK7KkP8+U5NlEzMoSS9O1RElG3XiqukUry/XVPZM0Z7veEBnD6fKE1y+e8vqLa0J9S1dt2d89I7ZwMo/IZg94+qtfoNOU73zrm9RVyavL17LbC540ndJ2nkwXlHVLs32BK++4u79n8vqU1cXbnJ+e8ejhBS+ef0Ge51xeXvYK6z2n/lQWQhRl2aB1GG04NqFl2X82WmuCMpRVSWS82AZHYI0YdmXWYs0CvS6p2oh333nI7WZP2Tk2uztmM4G9yrqhreqRS961gntrrYmThKAMJyoW++lKoRVkUYQ1MnSu6wKdGSKEXqxVIAsDbNRhzKEIaqVGK9uBMuhqB1HMLJeZz/npgrpxPH/xmvX9ls+jl1y9viVVMfM8J0sSuqbFVRWhabFGkeUTyQ3Okr5IC/2261pcKzCGsRob6R7mCnSdw3s7fpZDIY8iMewa7E7yXDQhZXUQBJp+uPrl4j4sJsMwOOz3IyPs2JFyVM2GPtkqiMXD0HeL0leCXmSR94SeXhpFkUCnJuLZFy/ZbLa8+877TCczXl9vmEwzHp6uvnJt/VoUeK0U8/lcBkA9TzZJEtCCybWNO5x03kwM0ro3bOqhC993y0YpYRl0Ha5pcU0nQcjO9dJzI6t9QAQ7SuE6sRxYrE7oGsdbj5/wq5//cuS+d21B2XeoURRxdnbG2dkZTSu444MHD3ql5HbsXpTWrFYrTk9PZWCoIU4s+2JHUReUlaQpqf5GtJF4ezRtO/q8hBDI+4n6Adv2/PKXv+Ts7IxvfOMbNL0HyrAIAuN0fjDkGj6jobi/4f+jBMsfGDMSndcxTfuupZZUHqXDm0rVOBpvhkFhfOztMZ4jfZCED53UwCoJIaB63DJN0xGPHywoosiIY2FsxxtLKYXvPEZHBA9l0VDeb9jcranKPcXOcPP6JXW5YZY0dF2FsR15EqFVw/MvvuD0/CFRbCkLoeNO8xmNC1TOE8U5ygcStyf4gFgrOXzXstveMz15QJrF4tDZe9q3bR+x1+O5RSWwksBYHNTUUWC32/Hg4QWRlYF4lkQHi2Z1xC5BEqCyPCXdleSTjLoL+LJj35MREpsII6MPioAjlaxSGJvguoC2MbG20HV9yLPAQU0zfKaWoKUzD0p2zkqB1org6XcG/Y5tMBXz4u9kFbggFsJGQ5rIdXFxdiJmXm2gLCuqSjKOrdK4riN0HRrZUaT9EN729/ewA1R9IHXrmt6QLOo790EpfCjSQ4GXneSBI/+mKveI9fIXHINqddRjDKlwfZTk8WPjoyGs9x43IAEgC0hkRh78ULsGllGWZSg0Z2dnbLdb5vM5RluqzZakFQfdr3p8LQq86zpcaCn3Uoju7u748MMPZatcVURJQpLmZHHErm5Ik4z77Z7WR5RVTZbEJFlM3VRYE1Bec9MseH3vsTairgt829Hsd1CXaCDNMoEYbCqio94GIU1TFidnfPTRR6P/uLERG9eRxjnz+YrFaspiOT8UozThZHXK+r7h+vqaZndLcX/FfDlluTrj4eO3OD9/yL5umM/nbIuSu/sS5zqqWsySJpMM74Vz3HUds/kUa/R4selowna75WZ9jY00q9mU0/MLrNFcPnvObD7lZLFgu91w30ihzLDj4K5r3chsCA7urtdE84QmdJS+Y7+puHp9zdXVGoXh/m7P6ekpOkASx9zci11uHMcEH9BxwiTtmUCJDGC74KmamqhPySpr2TVoa2i7PiVHa7rgySY56z4ta7lcopRisVjITWQVUT6nHiL67JR53xlWe09kIY560Uzb4LqOfbHh9tUlidHUzR27+zVZuCaNKor1S7R3nM6mAtV1iukqpa42VPuORGXs9g1hX/Dv/d6/i40ygor46M9+zq9eXlCFggzN2WLKzd0r8mRGfdXy+f4Z0fxdksmSD7/9Q6Z+z9Of/ynf+u5vEaWGu0pmSDvniL1hsy7Iko5JPOH1zR3z00fYOOFmfcvJUrJWja85mUQYPNMkYltBTMLSeuwyJxQFp6uE3xS3xN4TRVMev/UOv372G9bbLXVZEiswxjPL4r7gS6pV3JZUTc3WyKLaVBEmJJigUV4TWtAoImvRGrQXsY0KAeWEARRFEbpTECwWhQ6iUC10J7xMYbtjjUZ1LafzCWfLCRfzhLdOY37zomJXFngcrepojIc8AmsJicX3Hkl4T/AOrQK6Vy+3dUuxLQkOUjtBYwhtSxe6N4SAKoReqeEpikJgzFSuvbKzRDiado/q9qgupsmXWJOSKMlOSI3mtqgwsYHuMGPLOmhqB0GBlxnGJGnJ8wh8jXcd223Ner0W+u4kZTIdUrhqETP2+bdd8Mymc5LIMZ0sBJs3sbxW40ijDu+ar1xbvxYFHsJYLLfb7bhyD8UNDoOPY0dCeuc427vbdd5hw0HQMKzWTdPQcVBQDp2jc45duR1VlsOfg3uiGVkPWZYxSWOUQiiVswnr9ZqmaTg5OSHLMu5uNtzd3XHXB2rk2ZT5fM7p6amcuCwfpd+DK6YxAqeIdWkzDmHKskQJhZ8QAtf318JO0QptpOs/WUxpXcM3v/ENfOh4+fzZSEEbtpIDHSxPJcj39vqa9XotHbTqfTg8fXcin3VZlmP3D4yQzBBTZrQSCljXYYzQHYX9c/BxP+60jxkHQwcPjFvgY/rkwPA5poPShx+4/pwE/BGE1dB1YuikcPjO07Y1naup65LgRAKvFbS9d7dRVpwQE4/vHM4LppzmU55+/pxv/9Z3SfMF3/3e3+SLzc8IdFgbxvfZNA2dK6g7zXzSkPpA3VQ0m1ta17Lf7zH7nCbIgpj1YqDhfTVNQ5JmMoRW8pluNhvsNCI2EShNUNC6Y6dJTdJfh6GomWY5HQ2ta1FIgcuzhOA9TVsTG1ESKx9Eld3/TJJAUQdEsSyzLdcJEaGJtLBSot6b6KjD9XAI18ZA78o6OH8eH8IEUiPDi16DMp1OWa5ivPaSclQJU0RF9g3Dus65cfd9rKcYKLTjTmd8Pcc4/PGQ9ECRHGrIsNMSFs3Bv2q4ZlFvQjVKiauqiPzMG/5Xw25aZoGg9YEVJJ+BqJSHGZpHj697YOiM7J7+fjDGjCZsIxPnKxxfiwI/CHSGgrBarbi7uxsFD4N5T1FVTPIp2+1WaEZpTmT0mEtaFRVBa4LS7ItCIvJ6ibgKgcViMdrfVu3ggigX3sAGsdZyd3fHcrkcebAjxIDn8eNHlPWOzfZ+vCjfffddrl5f85Of/ARrLavTEwA++PBDJvmUoqgF/ytL6tax3RUSDdcFOsTorO4n80kkRTdOIozWBxdE5bFKM5vMmU4yTk9W5IlcOM++EE+e+Uw+Gz/wzM1BADYMaF+/esVgJSCfu3z+m82GwZjt6uqKs4sHMvTsYwKVUmRpKhdehxSNEEgz+exFtdiOhfp46D2ZSID5cI6H7z149HCElIqiEFy+x+qDAt1785gowsmFQt479dX9fME3Da5taYodVFeUTUWobtGhoqt3NNWG2Swj6wfSrRP4wOpANpmJzXNV4r2ia1tOvSXKT3jy3of85CfCkrm/n7DfXuNVJDs951DWUNYd3ryg3EpD4Kuat99/j2qzJShFMpuybm5ZvD0hShOwhvv9nhBKzs/Pef7iJS+U4tvffB/feqrWk6WKplMoZWh86CsgxFacFs+6wK3ZsfKaqGi4vCvQ2mFwLGYTOldTupLF5ATX1OO943rYK89ziq2IpFzdylC1ari/31BWhiSxLOY5xiomsZw/p0CF3iGyE7jKerknBrWpt4d7WUAigzIK5RwhgDKG+XzO416xuSkLorJARxnaCiNngO7qSgbTVSOL/QCBHAvFDjGdYWw2ALGE1hrnD+Zuw2MHyLAoij5kPh0hnIPg6MCd7/qvrVYrgdaUEjgrdEwymRd4BW2neojXg7FkkwWtqym3JU3XsQieLE+pi4aiKCTcPk37hiqMFNko1mgTcRE/RGvdQ9Zf7fjaFPjb21ustaND4n4vsW15no+rXTRNMZFlu9/LhWtgnk9HdoZHYawoGge+dlCKLEto246Xl89E0t0Lm5RS1J2smscFfvDyHlb1ocCfnyylENKitHC+P/jgAz7++GNevnjFbDbrLzjNW++8TT6d0Ton/jPre7SV5CAVFK4VteamEI+XLEmIEwudR2koi4qqLCQZKI6ZZxGL2Zy3njyWAZN33N3cAJ6mrih2e6pSxE0+GrzaB+/1AjrPs2fPmE+nTCYTSaBqPEYF6rql2JdUZUuxr0TQ1DdlRVFIiMVqTprn/bBW8EOtNUrbvqM9uH+CzAoGh8Lh68PuZDqdYq1lX5Z0TTMKugahhwXi3rKg7TqCFdhgULmWTUPoecxNWbLf77l+8YLm9S97mK7DWFC+RiuBqyaTGW3YEXzDtumYBkdwFtc4nFNoHRGlMz55dsX87BX3tSWen2OjDWnWsd3c0rSdnEOlhNJpDG5/T1uVJBYsGW2xZ+c79lVB3q7Ip1OC7/C+w8QWXWs+e/oFt+sN3//+92nrkl98/CnnJwtmkxMqp7jdlEzzmMU0Q9HgQ6ALCmUUWWZY6Zz1fsd8HlG1BtUVqOBQwRPrgDEKi8d1wl93PuB9KypOL/i0D6GP5TOokOPVhpu1kBv2VY2xmtU8Hjvn2EipGEKorQ4oL+6HSimxy1UiSlJKgQYdQu+RHqhrhTMd00nMdJLQeccNUpylgZVzOwT7DEUXGBuGY5rwsWW08gffl+GQbv/gOT/YEITQjl35dDolTZI/h8sPO9a2bcWqO7FgLXXdkE9S8klKOvfxMwAAIABJREFUUTUoDXEiu/Kb6zW73Y7OyYLUOgjK0LSBomzRNuLVi5sRa58vppydncpQPNIQPD44sWtGchSa8v+nyL5/1UcIYKKEKI5pu34a7cGjUSYiKENQBmNjMeEKgSiNca4jT1KU7lfwIMW6bhqatiZKY4KH+/t76j50YTqfk2VZH8gMqg4MZkHAqJSt646uk42pUookiXpbz5oks9joEPj88uVL2tbR9DYK777/LVbLE9pW6IZdcGw3OxarU+paQgPc0QV84PX3wbteLG7rSortbDbjYjkRG2Bj6NqWutz39sqGz59+gbGahw8f4tqO2gmFUx1BJbvNZhywDkPQQWSx2+5pmnaUTg9iqOFi10Ze40ERm4xiDqOPOnNEPXgMxwwQGTDCM8eRak0jbI/ZbDZ+DsdbU+99b8lsRpGUc462qoiMZrvdUGx3FPstEQ2KBq1E3u9c3dPwNCayREmGw9CWDUoFnPM0zkMwqGApW8/5xRM+f3lJOj/j4mI+dpaDr3iSJH0BcKigiWPJUW3LDSaO2d1vyEJAK0iqmmg2wzUNdX+e89mU+DZjt5eFaVDz3q4VZ8sJkVGUEcTW0DqPsQEfPBYJJ4kiQ6YUWWpROkbf3dN1JdM8pSr2GAOR6WX+VvW21YP4JuCDI7aaxvf0QEQXEScpu/0W1zSYUmTysfU9jBboIhmEihmEwukj/rdSAh1qUeAaLe6JHQETDEEPzxMTWrGXiBsxsvPdwU5Ziqo7UEuPIL43aJ9HNF348xTHYef45+vMASUYGjmxP37zMd57IYh10OluvBeUEuOwoMTzxmoIGMqqZlvsafuEMOelMdFa4kNt2zLBoI3FB2hax93dhizPiZMIH0K/iHcoFN4b/lXAM/A1KfCqx1q7TqhQwzZ+4FkP8manYF8WLJdzkiRmZi15nvVp7xXGRqBjyrrE9rYGu2LHenuPtRFP3n1CHKUoa4h6H5S8O0zA27YdKX7DxTIIjpqmIe879LZtCQj3/Q//8A8pigLTBy98+9vfJp/NudvsiHsjNOcDJ2cXvLx8TVO70X3RWks08KpD37l4z24nVM4syzg7OyOKIuYTgTIuLy+lwNUld3d3JFHE4yfvkKYpu50waWoCJycnXL56NSphP/vsKbPZjGmWsL7bcHp6ShsU282OqmzY70qauiWJU5q6IclTEXTQMZ8LXauu6567a0dnvaHQhxCI4oiiFM69MWYUhAwdk1JqdKiMomiM6BtCS4YZzPHv8V6sX/e7Au8cBM9+u2Uxybm733FzdYkKgc5VJNYTB0USWSlkUUqwCXXdUZYdSTrF+RKlUyIvwzd0ivcarwx161icPWI+W5LPFlxe3dHUFfvdPe+99x5ZGlGWW4xVvHr1CtfUeFcQGU9ETF3uubt+TdNWnCaPeHCypCoL2nLP5vZaLI5txMlqgTFm9PhfLFYs5lPuN1sUniyeEkUdUdkynQmLxVgppNo58kTz5OEp97s9D89mBGWwUcaGFvEtc+AbkijCu4osm1FW0kw454ijBEJHWwVa12BN1IdEJ9BqNkXVq4NlYciCJtOWDrAq0BLQvUJVB8HrIxRRbHGl4MqzWY5zHXVoMUqhTERsDfiOk+UMrQLb1YJNsWezr2UW4DxN3bIvq3HXPEArw/05FP4vF384VrAetB7D1wd7jCG9bRBOWWPEiVRLUVXwBntNhSDq6sGqQ0HnWtIsGp+vqio6J3PEsjgkwoXgub65p+s60cksVmw3OwgSXOSD4+Ligsk0Z7vdcHYu1NohlOakd5z8KsfXo8ArxW7fh1+HISRdyfAEhdIGlO7T3AGjR2reAYcTdaXvAq4LoEQ85bwX7ngq+KO28fjYQQQC0Hk/Sp9VEPXcsIoGPD50Y/EXT2cJcx4uHkLL9777A05OTtjWFaBlSKW0BD84PwrTxNxJBot16Ac8rpP31wux4jgiiQ+JN3UfvlFVFXESyQ6nA281dSOsgDiOMXHCLIl48eIF56cHYVbay/aHTkWGpma8qVwvGPK+G7HKAVI5HnAf5iUydNwX5bgYt23LYrEYz8koK+/pgQfam+wM2rrGKEUSRaheGCIS+YjQdQLP9DezG2IAtUJpuLm5oalLGUBqzWI5I+tWci58Jz4onVxbVVVR7CsmNhVYp63R2iL5ah5tDUpbjLe0zlNUJeu1GI/5Rgbb3rWE0PvnVJLC442I6IJqcU3N6mwl57wvCuV+L/L2AHmW0fYS9SiK2O/3VFXF+fn52MWfPDghig/X9b6syHKhzQ5Fq29aiYwiT2KKWOY6aZSw156uFUqm1dJVG6VRwUNwKNWHpgRHpCGKtNhp9wP/zvne7VIKqncWDLhOUte0hs4rsQ7o8WPh+ovnu2s7UAGrhOYrdjHSyVulIGhsFMiSiDpLmUxznPfsqka65aPBKjDCKsP1emwpfFw71JcGowOke4y/H1N0hwXDe0luOl4khiP0RmLDaxqGpkZrvJHdjNV9TqwxdL5lu63FGDEEokjiMKezXJpQ79mXJY1zwgrMMpqembTebNjvC+JMUrKSaMi3/erH16PAQy8HzsYPdfATB8ZBZ9WKo2GSpmI4ZvT/zd27xOiWZfldv/04z+8Rr3vz3sybmZXVXd1dVKOWq0E2NhgsGIGEDBJ4hjBC8gQPkJCwhQQTJp6A5AECWXiABRIgQIJBS7ZlZCQGIHe3um1hu6u7XFVZmTcz48aNiO95HvvsvRmsvc/3xe1yP1xglfpIoRs34ovvcc7Za6/1X///f2FNZCL7XRS4qBL+pWQCTVWwvnolmH2iKEUFfjqVa5nZcH5DnGcO5132qqoo65Znz57xt/7W3yKEwGKx4MNXH1FVFY+Pjxy8TG4ZnQgxpslzPDxKOawKPJ46+c+4dENPaYQg0Qsne7mkKgu648A47vDdRhhAxvLVrWB519fXFHWNC+JcWDgZqnG4/4Kbmxs+++yzOVvJWXNMTBjnHMFqDruOx8cNwzDIYvTCeNjv94QQWK0XhOiJUeFSY6ssDEVZClvEik2wVob3X31AREb25UWaz20+d9lJ0jkHQX523B9m9WfuffR9jzGGZ8+ecf/FGw7HHeM40tQlIXjKQtO0NRfrNrEfImYI6L5n+/BWxG9ViVHQNrDbb9m+fUBby83lmnF/oK4rKgyqKFHaUib2g59Gbj//FDcNbO/f8Iu/+Itc31zyw88+pawsPojlNIgtrvjOK+42jwKj1RXBTfzdX/t1TFGwu3/g5asPeP7iBZ6Id0eu1i1HC3Hq2TzuKazBDQ06aFyjmCZDVJH9IdDWFVZNKI1QGCM0ZUFViIvodnfgMGmuVy2FFSuJ9aJK9hFgrSLpkjBGE5VDW0OpK7p+4v5hJ5XGNM7yeucjo4vYECkseJ/mtmqxLJjZbSFdr6QBqNJQFo6ZaSK4uVeSBBQm0tTiwbIf1kK93R0Yo5Nxk9OJvbZYLOZ7NjOsxnGcK/tcHRpz+r+wpBTOhycQ6DlTJScwzjkZsjGJhcE5w2uaRD9DEPKA94521WKsKIB1kZKdydPUBatFS98NFMvlPHxnmkYuL1vKyjKOB1brJQ+PJc4PqXovGMeJ29tb0U0chDjw9U8+pizL2bPoxzl+IgK8T6yO3Ow8b6jkI4QwDycwVqUG0SkQyy4tNLaoRIhRpQZK1dQYY5lCIA8LOO30p3F+541VeDoIoCgKalsyjgPL5UXyTZf3+vHHH4tvykYMl/RigTZmniE5DlMKTm2yLajxU6A79kzmKXZodHHWEIoz7t+YAu/hcDhyOPRYW7FaScb61ZsHYaW8WFPWLY8PtzI/dX+Uz6HyVHrN5CQT91MgKsl0xmGC5Lkdk51qDtAyoNnjoycikJU1J6aMc05oXYUE78328Qm8lsU/efGcD+lelpUMsEgzXI1SDEkGrlK5fNhsOO47YvSUStOUlZhx1QWFlXvB+4nRDSzaF5TjiA+GaegJ3RH8RJPK6bcPt4x9zzTWKG0oywZlLBgRS8mkoEgME5vHO7x3/NTHH/KzP/01yrrm4f6WTz898LDdzCW8myZCSDNEK9JQ90hdFez2W/Tk+PTT7+PcwNXFWqwb2obFQpS5XdcxDj0qevzLa0xdzOe/qgr8JL2gEKRpqZOiVCsPaNqqJgbY33fUVUFdFgxjJ027KYIyFIWwwfBKqKY6YrRCl6L+NipSJAjIKhHlzB6NURPTsIyYYeF4wrdzRSfzjk/wSVBprOKZaCmbbhkVpJlo7dy0jVH84wXOq+ak5N0GaE62cjJgRGJ7tm4zLfdErz7H7c+/ZhqmOqdZxrOvTIGMYJRUQiRjuBx3FCijuVgtWLatkA2ipjCKqmgI0aGVVFRFWXHz7HquxENIZmhe5ixMLuJcT9cdMEZRFH9A7IKnaUKbgmM34NNF7voRW1SgDKPzdP2IajVFclNUGmwhwy18ChhFZQlRpuWUVlM2JSrNYPXIJuJDJHiPmwYG5xj65K8S/QmiQbFKXjDnnFuXpurUdc0XX77m+fPnrFYr3n//fbabHcYIN7ZdX8qFm8QgLcTIcrUmuIBJNEJxwTQMPmF9QaGUfB6jJcMefWAYRSw0Onh4vJ8nX+my5O/+xnep65oPknPl42bH6y/veXHd8J3vfAcVI1999RVaa37uZ35GPEcOx7lRGG2k70e6YxIkaT2/doZTnBOXv7IUube1NgUdqbK6fuTy8hJrCm5vb+cB0977WS0LzPz/TH211rLZH59AQRnmyVVGnDzbh0fWzZqyEv3CxfVlyqIALddtHAeOd0e+OgaasuXm/W9QKvDHLe6w47B9Q1tZ1h9+wv644e72K5RdME4j6AmQ+ZqayO1XX1CoQKk9n3z9Y/6Nf/1fA+C3/sE/oDCa7W7DYbsjKFFCxyCWsGIXMIi/+uMjl5eX/OIf+kOJ7ifV4ebtfVIzD6jnzxPNMPDyvWc0dcl284gfLJVaU5eGaikmcf0wUWlDYQ3T5LFKUxqLj4pYaAprGfwpozZGgvZmu6VdrZNORKiKlgKlJgIBrUuMqji2DeM4sj8e8SHgAxAmgi+JIeDGCWcUXk8sdY2LEyEotIYqCYislZ7XdruBlLDZwlAXJbbQ1Clhq6wo16vCsFotGLzHfHV70ktojbEWY8u5qhvHcQ7KOek7D8Qh9a/kSElfGvqdOenen3yQsvtp5qw37WmGakyeQn50BDcRdFKupt/rmO0Z8hxaj7WactHS9wM//PJzDgcRCTZtRdPUAuUYxWE4cP38inFccDx23L25p1EGZawIqeoFIRoeHu8xVlNWf0Ay+Jgkx8MwzPL0DJ/k70MIFGfQCWQpt+Ict5OTLqWkMYYYEmtDnzL3zMYYnSOEUyf+vBufA04OQPlvzr2h1+v17LdureWrL+5E4ARzgM/mZkVR0KdgPfQjYZqo2pZjP6X3fBJq5AA5jW4OiLvNFmstFxcXTDHw9u5eFKDGzMOulRLq5sPDLev1mu/8/b8/Wypk3vs57xeK07mLipgYQ5mhII+X95d7AYfDgRgUlzfXvHnzhuub5+KlM+xnv+8pCZP6JNXPlVEO3uKlE1gYMw9fkwxOlJOTc0xOLJivr64oVDlbJDjnCFGjjUUrxcX6AmU1q8sL9jvPoqlorEGNA49fwt45aWp3O26erSjLS477HQ/bHh8HAoqopdy2WkEcaEvDh5+84lvf+idwQ8/xeOSr2y95/YUs3rquOQ5uZoZobWibJftRzv8wDNze3nJ1dcUnn3xCXddsNhvQmggsFw1Df+Rw7Pnoo49Yrxb0fc+L5zd4N8yQ3eOj5/JySQwyDL3MGWy6t5Maar4Xx3Fk6DuaBIWFMKXrKWvIFGLrMQWFicLdtlognMJooaFG4Y+fM05ImWZmMsWYzb9O6zBPdpqmCZ+uM6pgUlr6Z0kU5BX4cJpslO/L87WXXzsLknK1eM7MOhcmxnDKvvP7CWcYen58jiWZuHEeZ85f/zy7f1coFXnKbpmmKVl0RKbJzdn5drtl8rUkobZO1cxpPGHTNDRNM3+eoXcsWk1V1kx+PyecP+7xExHgiZH+0KO1eDt47ynbGqOhsAqlIn4aeBYMV1ax1BatNCqWHHvHhEUl2EbhqVrNforzJCiRFkM/OoYuTbV3hkJbArJQi9TUyDhxVpv6KTC5zIn1lEXBm9u3WF3x7OY5IQTu3jwyTI7nH7ygbVsOwwGrFZ0fCEG4012/h8JyHI6McUQvS7bTEZRwkkO66ayu2O1lFmacPHXd4CePiQVhjNwf9nRjh21KvFU0TUEwo/iiG4U1ijDA/vGR6D29cyyaZh71F0JgmIQKeRzg/mGT3OwKhuEkjTZoVBCut9KKyhrC5LBaUzWVuEPWLaOb2B7l/ZZ1jbt/PM3S7fsnDdb1en2ipilF74+ogGSIica6XgtzYBylimjXK/FRMYrKGJq2obQyICNETxw9FYbl4pLlwjP0I5uNCERcs0bbhp/71i8wDh2fff5dDvst27rjGzcNx+OWYewIsWMaD6yWJS+fv+D64prL1QV3n33Or/zKr7Lf7/n8iy9kU2rXKDRN2zCNkYuL52hV0FYrPliv2W52ElArw+1XG6rqLV/76Y9oL5ZEK3NilWlRWnPZrNkdOvADhTXsNp7LixVloguv6wafBqhorXGTx2hxQQy9UD3bJIwLaqK2MFrN6Dw+Op6/uMFNAasnVgvNOB4pi5LJV2JINkFVGsKyJYw9XypHNw0EY/BasTv0GCtkAWU1MYpISGuwhWGKGjWIEdllA21tCZcXbPcHHncdYd9TNuKuWlfionioPU0lKs04TdQqstYKFx0PU48pSmwMqGlgOErFN3nB3YuqxEcPygOjKH7RFNTEIIwXGyFOnqHv58lZZSnzVEMI7I4j0YgSd+wPVIsFlijePDHiA4wuMKKoWxk4RHToGLExUCLU0OCkl6dMRUATfCQoTdGUlEQGP7F788AXX73lvffe4+XLl+ynCT0JdFaMjufXz2Qz1paH7YZ9P6K0pu7h8W5PZRY/dmj9iQjwIcQE08j/rbWzW9357qm1JupT1vDuMZdvXnyxjdbCAghxluNLw1Bws3xktWw2zNJaz/DC+VzUeWgFzEKfw+Ewv5/ra1GwHobxCZZvjCEQGZw0kgpbJrbCU3wQThnQebaSBwSQXs8FR3uxnCmc3nuiD6LijWJkdTwK/p77EO9aAMjrmRmCOWcX5CNjp1oLU8d7jy0LRpcfrxndwDSKreswdlSpEjtnMVSNsFeqtpkNyWKMWCVMA5Jc//y6ZgxWqgkZBzfz7aN4cfswiTR/mqSJnhhAc2Muyvv6jd/4DrvNI5vdLdYaqrJm8JF2eUWr1ijl6Ps9b778jMP+M36gv0AFhfeBPioRCKkCW1m0KQg+YosaHwPKFExBE4xULhcXF7x+/ZoqaS2W6zVlWRGiZt/vsYWer0UsDGUhw9LrqqQ0MfnwT5BUlrmpWJd2NmQLiW2UzwlADBMkOqoxHp9san2MAtsowYUJwt8naJSWEXNFaWYXz9w4BI1H1tHoHGWhoNCYoLApoOkYhfUFDC5QactisSQqzb472SZrdepxHaKb78HCWJRKZl5nBnXCzDnh7ecMF7l3fnsMiTGeRuq9wwI7HwCfez05fJxrMvzZesznAmUI4anl8IzPz+/nZI+dK4OsuM0wUdd1TDFSF6UMH+oE7h2niaptWGuFOnQM44g77GYK8Y97/K4BXin1EfBXgJdI7+UvxRj/olLqGvgfgE+A7wN/Ksb4oGSF/kXgXwGOwJ+OMf7q7/wq2XNGSqOqkkaa3NxqDrwBkcSHGDHqRNkT3wwwOhJDIKZM21oZED1OWRmXoBgtQgal1GxJkG+CPmWdOfDlhs4wDBhk+tGYTLDyvFSlFM+ePaNPWcP5352onCFtBuIFPR6Fanc4SBDKMzvzRgZy097f3wuffBT4KiiSMnORvCwiZSF4uR8FXzzsOw6HI9aULNolQ+/IzSfh4Zcy3CM7SfLUGyPf3Oel8+NO8PLr62uidxR1RdcJG0Yw1QT/jBMxisJxsWhnHx+txVKiLMt5M/WxZ5qSu+WxTxirxmj5GwDnJmlaliXWnoRTbhqoy4r1hYwyvLu/Z0oNyMzD9y7BT+2atlny8uVLfJj46svXbHc7rNdoFG1bo5sFz15dUKaNJjihWo4qfa4w4VOvJgZYXVxijwPN+kaGolQtzy6esVwu+fL2lm9+85schx5jLA+bDe2ioV0sqaqSiJkZU9ZIwA9+4vr95zR1yXpRo5CZujeXDcfjkZAy+Yv1cpbN6+ToaLWepy+54FEESisqY0vEh5zJKkY/EWQiBZWt8EGxbCxGLXh2dUnd9Xx5vxGBnhIChB8ntI0UPvnFmJRMxQiTwHuDhikOtMslq+WaySsZZHPoGQcnSVHdchwD/TRQaMNq2eCVoV6uaYZAvejwQXMYRvEI8iMhZrgwBdwYCZOeVa/KnmDUHGxzYjZNEzENr1GauZIES1WIQvUpNOMZpxPr6xzyOV8LsskqSTbThqCVCLjEl2pIFtxx1nNsNhsGW7C8qkEpdpOQDfq3b2nbBdpaLpMlwt3+Du9GjkkP8+Mcv5cMfgL+gxjjryqlVsCvKKX+OvCngb8RY/wLSqk/D/x54M8B/zLwM+nrjwD/Zfr3dzzEREoOrTU2DUSAEz4uDSBhFAAzGpaD0cw+KAomZdBpsRYxwS9FQYwTfhLDLq1khN15Zpg72+fiiux9saqlwWuRi3zuU5+FPSAVybud/2ybW9hy/t05Rph3/yx0GIYBvLjhjeNIW8h8HaFpFkkzkLM5g9WaY6oQnPfCTdYaZQx9EnmEEObf+bOAnpvJ2W74/IbOWY8kdZopVxs5C40+ccRlYY29n6uP7F2fA/vl5eX8PkIINNWS7BEvqsY4VxsZv880z5zRa63RKtD3PT2g90lBGRW73RaiwtcSFLbbLd2+QyvJoqKfaKqCm+uX+PaCYezpj3s2h0Gw1aAoC+Fx6ygwwhBlymhe0FUtnjCqrMEp2tUaXYp47XA48PWvf51Pfvqn6MeJy+trdocDTaxQWrNIwrfRyX1dVwVNXbFYVEJB5MTZ1kqjqeiGAZsq17y52VTqeiSDBtAJYlRTlDF5ERQBayS5UEg2S1S4kHpSShgkptCAZtm2HPZHtA8UGryKiaCgcFNAKUmUdIRYiuJaR2TYSQA/TRTjNPeC+tGx2R4YRif9hwBlbYle6MOmE7O0EOXzmaKCALFzOO/O1tCJ3hjT2gr+zDMms984GYSdGrAx4elmTgZ9ekyRaKYzNTKtJ5/YdnljV+FsSIhShJlhw9w7y4fg6kXSXnTzxlPXNVOIaXhKumedxITBOVQIrBuZwLZaL+Qz4Plxj981wMcYvwC+SN/vlFJ/D3gF/EngT6SH/TfA30QC/J8E/kqUq/N/KaUulVLvp+f50Uc62T6cHAaNPTEq8jE4Tz9OkkGXJUWi/+VdUiE392rR0vuASr7aYzwtnKgGfBkoCzHOGsfTjMScxWZFbfZNz0raMgmsqqYRqCRZ3S4WC7aH/ZNgeX7kgLVcrogB+k46+4fDAa0li8gQRdd1hGlit9uhQpwVeMv1mn13pChLqkq8cpq2Jo8li97THQ4cdjv86FKzVgMq2RBIwJRpShdobRiGw/y6eSPJEFWGu8TlcsI0a+qynK9JfzwwOrELCFE42pUtqC5Xcx8jP7e2mqACx+FIRSW+18bQHbdp8U1zll+VyRxrmgjJqnUYO/rhODdoc0nvvGd3lP5BmCbwURg1u+Ms0LKVpdAFtqjFSiKV7JsRitUCU18QoniST9PI8XBg0rBsWhFdkRqwRRonreTaXl9fox4eePbBxwyDo+tHzPHAL//6r/Hz3/onGXrHME5Mmw3Ly4/ox4njXUdZymYmn89RFpbdskQrGF/c8OzmiqY0FFZTlSVtEr8EP+KCFyGVTiLAIDRfAJ9mFtdVQQjy/MSJqizQccKHQWjFwBgj4LDG4gNYXeKC52d/6iNKnTZYNzIMydBLaZyPTMFDdBQ2SqVjwBs5d71TWKvQ6X1oZVi3azbFDjdO7Pd7HjYbMJaqEj94rtdiVKcV1koCENEEpRkGx+7xLWLGZWehklQ7ScjkChSn5r1+R8gnjdzTDNy8TrxzAo+lewQkWczBffQTIRjGUcSHOsoErqeNYMi0z9zUPXdAvbu7483tHcYYUZAvlyybhSQP6TG7aUfUij5V0au1JECvXr1imqYZ/v1xjt8XBq+U+gT4NvB/Ay9y0I4xfqGUei897BXww7M/+yz97EmAV0r9GeDPANhKZnieN+AyfjaOw0zJm5yX4Jg43Tn7y3/rppG6ST4pCSeOyMVTU2BwTih2ylLYAh+jQABpd86BPlP8cvOxKGSGqUegkPyY7E1yf3+PC34ei5cHT+fP0u2P86JWaQJ8DtxKCWsou9l1XYd3yXIWNfvC9E4WW9M0srASB9hqCC4QvTgy7rZbopcsCq3phkGsWlcr7u/vpcxNXy4xVXJJm4N7PqcZS5fmb87oPd6NoMKMrzZ1Ld4lZYkuF3NFc463n1cE2Q9nfSHWDyeapk2MgvEkM0+VWZ3Mx3LGBmmoRuo1rNdrFu2K9crMuGefXqcuSwor3OrD/sjrzz7j2A+EQ6oBUw+gqZY83r7l41cfUpRSaTzePfILv/AL3L75gqI0yRAKlpdXFE3L4uKKabPFhIjrZXjDdrtNMAh8+PHHck0Rz5oAtLUs8EV7BTGwqBRVWcwWseeiHB8DcUp+NKnCcyFQGCsZa3I/tPZkRZufJ1fAVSWVA0GeoyhtMqmMmMISI9SVwXh4771rfuM3f5O+61GFbKJl0cyVm1Gi1ejHibow2LYBvMxwNRo3TkzKs16s6dxeLCiA+y++lB5Sf6BtKpq2phslsLVty9CPcEj3xXot+HMYpJ/UHSiLal5Pxsiw+uAjQZ9V3+okTMywa5msQIbnObviAAAgAElEQVRhmD1uVGKq5fvcJ8U02jBlymXUxKTULdK9nTcOdB5GHmZufIwnTUD+Xe4hHZLOY4GmrWu5DtbyuBVmXFnVc1wJIbBeiC3CPxYMPh9KqSXwPwP/foxx+6OanPmhP+Jnv60tEmP8S8BfAmgvXsa2bZ+oyWxhU0A4yZOP/QBaPENMwshDCFR1KepKW6OTcVBVJTZB4rFrq6kri1cGEBOgcXD0/Uk5OQwD223OKgPL5XKmMgGsGwkyXdex2WxYrlZ873vfE9igEJdErfW8I+dsXni5Io5w42kTEepgJ8HQGN68eTOX4W3bUhrhobdty5Q2lAAQAvVCVL9TCIx9Txgk+3T9MFMarSnQytAde+qqEbsEJeyiyfh5YWRucA7KwFyhZLgmuJ5Dt0+bUqDveoyWxW7TJlhWFZNWBCXbavQuXQvhIEctX7owmOKkLlwsW46HDucGpuRKaQsZBr7f7ymtwSjmTE+a1skLXBmmEHBRsUgCGa3lNT/88H0Wi8VcjX3x+S3DMLC8vuBZ+x6vP/8SgKvLaybn2Tw+8vLV1yiXSz7+2ivu7u744JOflibnaklVFyzaihcvXjCOPbvHHUUhC9+NE8/ee05dSTC8e/NAWTds9wcRxlhFWVv6wXF9uZ4zUmsKzNm1cAlmq6uCpkoTsooCo4Va2idDO91obCIKCGwpIh8C9MPpvCulUDEFMFnIlMqKj6OXTF4TGfuBsl7w7LLmD/9TP8/3fvADfvk73xcaaRVxQcz+pqjpp0CME4OT8XlWa5zRTH6ktQU69Y6qqqKyBQetaRYLfvj6c3Rao5HArlC4sqeuCtaXC1CRfnQoXbJoSi7WQjn9wfd/KNTD3YYYBBKtKqn0JEHL9FE9r/e+70UQl9w/89c0jITg8O6k94gqqduTPfYUAkVqxErQPpEgzuIX6YynoH4SS4FsWn1ytPXec3t7i/vha779i7+IrUQzcHV9neb4eoauo++kgo6DoW1bTPWPiUWjlCqQ4P7fxRj/l/TjrzL0opR6H7hNP/8M+Ojszz8EXv+Oz68FojH2RwwO4IRVTybO0v4QIiENsbU6K06DSI+jDDQwGkJQgkWrSIEVVd78AsLvzg2ZczOjjBvnXXneeNIwDuccd3d3M752LoeG0wjBnAEbbRnc6TXmwBmYFbz5PfRdx3q9nhu/bduyP+zmnoJPTWnBGCV7H4YBn/yzzxkx51nvOYPmCXsgbTY5yz5vMudz4Ma0KYVJqiCjWS5FDGarMsEmBXXKdM5x0Az5nFcIWgsDJ4an8wBi9KjUQNcmCVtUwPuEOUeH0WJ2FqM4+2mtUdpQl7IZ+ygOmFOY6MeOdtkwuIEPPnpJXYl69Lvf/S4v33+O94FpjJRVQVGWfPjRKybvqNuGqCKrlWwQ1zeXQEQRCGESXDxGpmFkGpz0TZyTwcxRKLtt20rVZksKrSmrhhA9m80m4cgOazQfv3/DohXfocWiTXbVImFfrcu5uVoUBVaX9MdjgmASoyzKpm20JhZaSAhEfFCUhTg75o7VHOzO1KhEL816K0MrXr16zhR6fu073xeZvnaQ7lGlJGlRlWz0w+iYrMZHSwxQ6QIFDN0gk6DymlBR/OGVeAnJuvZMk8KlpEwnD50hCgxbVVKN39zccDgc0jyFkxYlf56My5/f67mxen6EEHDjiFZ+7q2VZSlsu4S5O+9T1XJi2gBPgvc5iybylIMfE7spu1XmiVLZEnxmkCXzMoxmOgoMOvmMyUPh40w0+HGO3wuLRgF/Gfh7Mcb//OxX/xvwbwN/If37v579/M8qpf57pLm6+R3xd6QZWFUVxqonFwmYcTeBPFpiUAyjpygc1tZnBlYRrcQnwo+O6ANGiaenUgUeGeXnh5EpeLRWlGXB47afKU0AV1dX83Nm0Q6ksteNfPXVV7x+/Zr1ej1vQHVdU9TVDEmE1ATb72RYry0qiMxzTq0pZkaIMQJL3N/dAfD4+EiTBjP4UWCbGCN128oGYkSQI8E2Er1jTDSsEGRykyMyxcAwOHRh5fvJMUVxZnTBo7x8rsykyVPezz15cjbvnCMMe/l/DBAMF+tLoe2lBpwPE8NEGiNXPDEWy3BUbrDmASJVkSwRkreJNkqamTFbNYvpm4ppM5omjsOIjwM+SpMcJYG2dxP92w2oyOXViourJbZQjFNHN265vFkx+aSw3R149t6Kqmxk3m+1QKFZLlu+9vUPef36c479FmXESMyFI5fLK766/ZKvf/IRITiOh6N4ro8jruu5XFywGx/phgHvxSajT835Ji6gj7jgCQSG3R03Nzf8/Le+iSKyuXvN48M9daHojnvGruXyYsXFeg3GMTjH42aDNVLJNJXMYBUGVRIYBY3WkYBQjCcfiMERgqUq7QwrRBXBawm+KThJ/wQUTnpYbcXPfeNDjmPBd7//PX7513+D5uI5QVuOw07mqa5rCgvj1FGXBbpqKLSh1BqLAi+zlJu1OIX+1qc/kA3cD6jaYk0k+JHBD4y9EAuc9zTtgov1kt1hz/bYozR88vWPCSFw//aRL15/iXMT+91xhmuyLUJ8x5gsO3ACs/Cu73sWbYmOzIpWbS2kynkYBkY/0Rjh7ecN8d1jburO6eJTu4PFYoE1BW/evEEpGWL04vIZfprYH4+Uq5XMsE3V6BQC0UeM93QjhEPPFH98w7HfSwb/zwL/FvB3lFK/ln72HyGB/X9USv27wKfAv5l+90sIRfK3EJrkv/O7vcCJb31SceYOc4Y5pByXx0/TJDcDZ6wDLRLoeYdMHhVmZkF4lE4Oh1ox+UnYBOn1M8abA3sOTufKOW0M2+12NkUz1lLXNXVdY8oT3pyfMz+P0BNPuLK1dr4pnTuNqTtX7GmtGaZptlFuVwvB3a2d/VcCgTC5RBmbROhRFPRDP9+U50yYd7OQjNOKB345PzZjmMaYmfrZWlHxFYWYIEWEpoY2aCvcXlsU4pWfWDH5HNZ1PUMSwIkvPHXz9cwMmnwOc7PbOUdTW4y2KSuSxeBHgSGKpHyOaF5eryW7NEJ12x0fGd3As+dXDNMoIiQP/SBmX8v2AtAYW7Hd7Gmaiu3mke3ukZvqiqurS6KaaNqKdtHgpoGLiwse7t7SH44ChSkZFZmHLMu9GrFVxX53ON3DYZLB6qbgW9/+9ozNVmXBJ598QmENhQ4s2ppVW2Gt4e3bt1w/X6V7IvHEo/D+TRR3x1mZWS6ZvMcPPZUtxHQMTTdIxpt9+2P2V4nC6FBKYVCossSFgNKBECU4fvzRB3RdR1N9XwIoWmjH3rE7HLAmEmtDiBVWGTCWcXCQAj3I+1ukBvo0yYxV1IkK7L2nLtI170ZCWbK4usIWBq/MfO9qrUXF7TyHwxE3npwnz7Ux53TG8yNXxxph052zxTKHfsosswT9Rv2U/35+5ACfAemnGXweflJweXk5j/grrWU/iKW3TTh8SPEgV/xKKUxh8THMM41/nOP3wqL5P08f47cd/9KPeHwE/r3f17vQUK+SFH67I0RPU1epwdFglcxJLX0k9gPKDVhfUaIoC4tNlrFGqcRMECbO4JxMgzcFk7fQT2ALnA9I71/jr1LzszuZIpnEU/ZTYJmC+du3b7FoJh+JeN68fcMf+2f+sGweXsrbdSn0KEwtDUxb4aM4ZXad8GJNUVI2NYfjgA+KInomN+J3O1zf87xpWLQtjCOTd8RiQT+OIs4oCgqtwXvKyePHjtIo7h4f6I4iopmYmCa50aqqpu8nYjR0nZNKxkeGwROCxhLp9zt0CNTWyCboJywyNGIceqa+oy5LJl2mwZyW4DWxc8I3T4slD8QI0bNsBTvM1g5hdKC9zFDwJ9vXdlnOuHJexOJhYrlYrGb88niQUYzOOWxlKbVmsWzS4vez896228pi9Ao8aF1hbMXxaOm6iba9EeuGm4KbRZgzuskN3Fy3vHr/it/87vf46NVLykLuv7pQOGNl1q8DE0qmUfH552/45je/KVz1997DuQmjWpwPlGVDDJqyWiRXwYnlckkMwv4a9gOTd9zf3eKmkd2rF1ysV1ytG/rjka2Fsii4uFgzHkdsYdhvpFG/Xi3QpsCYRKVVCmtrhuOjiL0i7Lc7VqsVF6sVb9++ZTIWVRQ4J7CHhZlSGKMHrdFKUxmQodACRX18Y7j5Q5/wve/+Pf7+pw8U9QUhGtzR4w4Bq0S4VBaWDz9Q9EXBRlvquuQ4iC3yhZPJXsvlkt1mg241mAld1nTJjiNq0XUsilb+H2C9uqAspKK8vb3Dh8DVxRWLtiIGxdu3b3ncygxkowylNVjt8a4nuBEVA4UuU4UM0RtULChrJap3a0BZmXurIjoEiilSuIkrW2KUg6CIIaDKEo8odycPBlDWYAD8KVmS42RfbAvDcrWQa/3wls5OXF6tqWtFZaCpC/wUqC7W7IuCrpP5yDFO/9CN6vd7/EQoWfNuVxQFU2J1kLJmoxQkel5uBMJvn+MqWW9Exaf4nNKSyegoooMwegnIZRoWnRorRcb1YjI9ChZVKbab3ewvcUybTwiBb3/72yJ2Ouwoi4rl6pLdPtGaLCc1ZT9wPEoTs6wb2rqaNxKlFPvtjr7r6AaZPmRTVTB4CVxN0wjrRcmUoBACJvPflZpLzxDEWzqmyT/5OOf4n2cimSmUGSo5Y87YfWYcNE2T3o/ADqQRbcv1Wiitqf9w/rzZNz9nSfl5cyafcX1bniiqM8c9Xdfc9N7tdsSg5olPGZc9HoUKmVWC4zhSWPld7omce4mfZ0l933PXbeWeq2ourlq0kuzz5uYmBWOBpqLvePXhB2wet7x8+ZLf/K3f4OWLD7i+uZKgtdvNZABTV5D8wWWmrGK337JaLQS/NnJeb9/I0Ja2LnnvxXOeP7/CaJXKeohhJEaBstbtkuBF4JOpc0oplqv2idK5bZfzNW4XK46Hnu1mz/XlJZvdgaooWK1WbLf7ubqSqs0QwvQj16UGVBj5F//4H+Oz/+mvcr+5YzcarC1xbsCNPWE4ihCw29Aulzx//yV1Xc4T1A67LVpr7u7uaNuW5qohpH6QQVG2LavFgiZd1+zflD1/iqLg5Uvpe+12B7kHreLly5fc3Nxwf3XFw+NbDvtuhimnpGyeIdMQ8MHhg5uZM+dxI1cCecPPXjHnWfl5BRyCDPoGnvYyztZcftzhcGC73fL69WsuWrFdQENR32BCkRIbIVk4DRNiWmeMoXinsfuPcvxkBHgkhlkN2iQJMCJJ1hGKwpAnoL9bLp0HrtOPT3a/QncS3x4VxSCpUBamZBccRBVLEKw7TuJ97qOn7x3H7nDinPvA5otHfvabP81isaAfj+x2O159cEFZlvRmIAROsMx0ku0Ds4pznDxEmU6UDZXyZytLgTtiUstmaEOTS2uZ+qT8hAlnfx/D7LcBT3f/nF2cK2RzEM+b6ywrP3tM/ptzBsH8frQ0WftxnAP6Mnlh588DzEHJpKZjzvSNMUzbYV5Y+fG5kV1VFYUteXbznK7r5+HcmTo20zcTpGaMYXInD/r8b+bO52ogL+rV+gKXYMAqNWfHwbFYiAlU3/fgEoVvGLCF4fLyksfHR5QS5bItBMLK/YshvVZVVYmh1c/XXSlFWRuKwqKdOJI+e3bNai3Mq8kP/OAHdywXNVeXS+qqfDIfwQcxrxsGIQ+AWAyUxqYms1yzMvU6cv+kG4TJMTcPy1Ksot+B7J6spyhNRxNF8PTq/Wt+7huf8N0fvGa83eD9AN7RVAXHUTaxwnhpMi8XjKMMox6GAd82wjJyjrau0Ym+m++l/D4zTTdvWiEEQrrGi0WTdDKBvhvwLtLUC8qy5GK1SmMJJSnojsN8H+XNLwf58/t4FkfF+OSx53DmOeR6viZOPPgcp04/P193T+7loqBd1BwOewY30ixrqrZJJmRpTRmPiQr3zoby4xw/GQFeyRAJm7w5QhIUkfjMhbEs2pqxP8oGEGOO2CgtM1xjzEHt5AVttU4TJOXnk5+oC0tEMejkA4EioLGVNADHZJdwTFa2dWnxXiCiorT88//CP8exO9D3R7TWfPJTP8XF+pL7+0dMUVHbki5ohr7n8fFxzpJzdpobjVYrOufpOxl2oQ0YY2mWDbayElwWNYSJwipQkp2H5FJp/ETX7ej2h7Q5aHzyYlE8nS85e3AY8+Rm3u+Fp5wzYZ1gkHM8MNModSlQQ9028+N3ux1l6kHkxTmc4YaZZpntIN7dYHLjdblczlXG+Zi/bHOQxTx5gebGe+4d1LW49WXaYN6AcmWRxWo5oKzXa+o2UgMKw+Ac7nhk8l7oaUYaw5N3XF294NNPP2W9XvPs+Q2r1Yr9XrLgzWYz8+WrqmJ5sebh4YFjt2capTJaLpcCg6jIMPQcDhPPlhXLVcvllYisdrstSgW+9vHHNI2lKsVCoawKikpUysZIoNTqtNFPLjCORwptGL3I8P0UCKGnMAZjC0Y3sVouGYaBt3f3XFxcnLxZnEfpE51XhXSfpcBSF7CsDC7Cn/pX/yh/9zdv+c/+i/8aMJiyZTw69rtHCqN4eHjg0HUcx0EYa7VU4h+8fEFd17RtKxX0JEM2pnGkjyO+KCi1lkHq6R4trWySwUuiUChFXZc8u7nhzd0dx0PHdvco175q+WD1Aev1msPhwGc/fM1+v5/Vx33fzY39d0dB5k0/r4tcxWZiQz5ysPXek7PIOYN/Z75EPjLSUKTKabVacTjsCYnNFELg9vaWumqp25LCWOoy4pjoemGHxfAHBKIB5rIxn/wic8iR5qm1lpCpiOq0w850PDwxno82U4DcsCpqlJLnHEMgeiBMiJdkRCmhakal8WlijTVKcNgKJu+pm4qb9Q1lU/Lm7pbFomG5WiSl5YSoZhUhKevE3sATwukGqBL3O6aOfX884J2TUXUps+QsEFVVJQMaUEl0IX4ZCpnAnq1HlVJpVFwSx7yjcD6HaHKQzZlhFjplzC976WSb4px9Folbn7OhDIWUdS0MqJTZt8vlzL/OCzZvFjmLmkJIEvGAn+KT97a+uhTLg1GUm+6w5zrxhQ+HA5uNDNtomma+/nmzcKN88OwB/q7Q6txfx/nsLR4Z/XTyFMnZpYooqxnHnsvLtTCStJZNrSyxxcjx0M+bnTFtMrI7Ndkg4pzM6FyuFlS10ETbRT2fdx+mBE9qNtsHpqnGXCzOMvhRPNNTJqqVVBU+IGW9Q4ZtBLkHQrqHohL7hsJWTFNEK4sygUM3sEz+51oJXTKkykbpIPdQmpBGWkJx6CmqmveullzUmruHrfRNlGKzlYrGO4cdBlwMKBVZXV48qUAMAquZIhBS816CuZ2z6TnoujTfwcpan0V9qfrz3jNsdriQKLjKzrYYXdfN9MTz+3wcRejUNJKg5Gour813ocx8/G4ZPOrpY86P80SlLEvG7kjTtrN9x9uHDdZIdW80QvG2AV1YtDGY8g+IHzxE6tqiNRSVRseksiwNfhJ5vSLMxvw5m768lPJ2GDtQFYXJE9JPz6yi2BeY5MkhQTik0kpTJl7vmFSmbWmZAizbJsETEbQYZQ17x+G458WL5wxjz+gc2geULqjahsNhZHQTu4NjHKcndM8cEI2CoTsydEc2D/dSPxiZO2sKS7taoK2h0Q1VXTIdBHd0YcSPPW1VsXl4YFFXHLY7fEjwjjGgDc4HqqqZg3SGfYA5gGWsMS/ArPzM359DGXPjMz0HpM24LGePnvMeSnGW/cQYn/ROMt6Zz0dVF8kh0dMPAtP0nVQSbaKFOud4+/btnGVmfP38s9mzIJGfO79+/poS5BVj5O7ujuXK0qSqpOs6yqKgqsUiw1pLVZez//7hcODDDz+QUYTRU9USQCKn3oLScH9/z6JdihhJw3EvvZuitDRtxW63xRaG1eo9vPe8/uJzyrLkow+eYbSiMBHv8+g6wYyXdVLgdmKdW5eW/eHIerVEV4ayrqUBryUx6oc0MCVtZKW1BLJhnwjOuqNcj+Wqne+HnDSVlZ0pqoIFTZRGVJ0fPW/5T/7DP8tf/d//D/6rv/zfMgbonTQGbdGgx5F6uaBpBLJar9dz9ei1oj8eKYzn4uICP01c3tywvryYxXz7/Z7D4SBrzY2USAZ8c3NDUBAnz8V6zSJBfeM4iuI2iKfUcrXgZ1c/S9d1fP7553THQZrMk09U647r6+t5k8/JVr53MpyTIdVsTrZcLmeI8BRckmtklMe+2xB9F3L8+te/zn6/F4iPNL94tZpZTCiFrTR9nKjKpNr2f0AgGjgJMHT6TG1dzz8vjMGlILRYLPAhzVO0Fj97lsO5Qb7VOks7ANBRE1QU8yV9GtY9hkhUkVLcx9KFiag0/DiS/C1iYHSCU4d4GgpMGgo+OsncfGDOrJ0PwtfmRAUFwf+Oxx3O9ZRaBk77lGUqo5/gf/kGDMERQ/LGIBKm6RTc1SljPD+X5+f23F8mN5XqxHvPGfw5GyBXU+d6gJwRT9M0N4JsspeYefRhIhCfZEekWZ7aGpQ5W1yJRay0njeGaZoIMdKnLHwcR6r0PnJlkDO67PKZbR5ytXDuBAona+e8GQBM05FenayJc5aVF38WZW13m7mpu9+LFsA5ByqyXC7Z7/dzgLi4XNEdh0RxHVmt5fdXV1dy3sNEWzZordjvj1xdXVEUMk/3+uqS6Ltk11GcKj3nmUKPTtcEZIPN7ydvwKuLtdznRgzAYrobxpz5n0NkfkLHgOoGilIyRXFeDISo8SGpxzMPWyFJEorriwV//I/+0/zSX/vrfPd7P+S95y/kHg0lJkFqRWHmaxE4WU6XZYlFxEWr1YqLiwussVRFiS0LdrvdDHe1bcvh8R43jVT7am6IZyLCarmky4pwo2bPpKYRwZhAUUeBZvQwq6nPk67z3tRMjTxDBs6ZLL8bHv5u5n++9vLv27bms8/EynucJp49e080MZmOaQwhelT/22nN/6jHT0yAz/NVeyWObxkbbOqSnjA3JIXFkpR5KuInj23L+eYFQKXBvVonxeNTjCwoRZm633USv/TZIjSLe/KEeSXOd5vtEe8ittAEr6htzWq9phtG3AT9eGQKitGN4mWNQhmLJWW8WqVmosO5nsPhIDAM4veBVpRViU6NO2MNLkzE4Ok7hzET1oAfOsDzeP84Y8syUFzNznYZtoCTZ825SjU3/zJUlJtLOfBn/Do3wCSzK+e/NcbM9gQB5swLYHm1ngNphncyZDJnc2mBVVVFnhglJbhBpcHoxmQOvaXQzBL9DAflRZmfs+97jJb3mzel87me+VxkmubqaiGSdGNYrmrJtJRszlqKIfAiW6+bis32ke12y/XVDX3fc3FxIU29zkigspZN31EUITmUPjIOE23bcvf2FqXg8uoCpUXGv1qt5g314uYCN400ZYFzI1oFmqakqhqKZEYniksSRmyp0rVRaTN1U8oWVWpSJpjDGkOIQWaEVqkhqwLBix1xURRcXV+kDSXBaMmpca9EVFdYhY4yjMKGwDc+fsF/+h//OX7pr/8Nfumv/U1unr9H0byHLUt0WRCjZ311mZS3EuAra9CLBYx7wjhiypK3b97I6xyFAlokRfR+v2e32+GPeyElLIbkDfUVy7VAPzc3VwyDo64qHg4n07rcQ3r58iXee9arS3a73Qyl9d3ThCYnL865mYWT75v8+3ydnmbwvz34nidW734PcL/dJMZSYL/ZM3aSmLRty2Kx4Op6jUUQAaKfK4kf5/iJCPBKQYgTRC1N0xDwIVIVhqIw9L14vC+W7WwAVpZlEhC8wxdV0nCcy3XAI0FKK8lQdDxdJ22NOPk5kf2rNNg7An7yuORnM3mHNRUYhUEylDwE/NCnzD6I/03OXrTWTOG08UhmKc1BqxV1XREHsVpQ9iQEmkKYS8IcEItCKpnd8YD3wkyJZzgi6TOGzEAIp2ZOHpEHJ/aAUor9fj//fXbky17t+SbPz5tv/qgkgJaptFfmZAtc1/X8POcDPzJEdH7D58WT32P+XaanZQO0GOMMm+QNJp+b8zJYaz3bNcMJppkx9YTh5s3BTR5FJBgjrI688fhADNkiIVKV1cwCyiwhgQdkulGmss6VRCXQQVWJeKptW7z3rFZLGRavFMvlknbREL3DFkaq0skRXCeYfKqIQghoexpC4+deBqe+gtEYJWItdQY35PvfJeFaSFUQMLsoxuQnP/QOW5zmFuRzOjhFsGLzYZG+RFkXuPHI8+s1P//Nn+GXf/Vvs1gtGII+qxLV3Py2OlfmSa06Oi6ur1gsFtzd38/QoPeeqqmlqR4Co3PETN2N4sM/TROH454QAs1igdYImy24+fxnm+miKDDacnUtDLfNRioxN56SmPM1kdloOZg/SRjz2goBcuBOyy43Wd/N9PPfnzNx1usVD4sHhsnhE3FguxHP96oq53t9nvf6/8HxExHgMw6odbIznSYKbZjMRFWWmIsLdrsdk4/JKU8Wl/Bd2/QswqhRSi5uHuihtYYUmETElB49LwCH0YqmLhmHiePY08dIu1xRlFbG/DnHhVkQJ6F/NWnR7bseW5Ycbu/RpmScUvDU0gs4NfakAZaIQbihn1kFPjoiYNoGY61g6XJSGI5H8dkB8QuJirvbN5TWst1tMJywZj8laAQzY+PWysSkxUKER3kx5QDszgYb5MCXb+Scdc83bqLj2dT4GYZBOPJtOzc8Y4xC8VSKKQSGtCmoo1j9ZhjHJml4zM8f49x4fdhsntBDm7omDN0pMKeFeG7Ylptvs7mWesfDKNHtzr14KGC1WqG1kUZvcPTHA21VEL2nTd7/b+/vcM7x4SuxVwpeWEX7/T3GiBWsqH0dVS0UxC5VE9rA2/s3fPjhh1RViTJBNjBEOHexWlDpki+++AKtoC4jq0U+n0nZHDT0I3WZ6KCpsj0kW+mQNqN95+bAlj683Ivp+lptGJJ30Lo5qwqMkU0gGsrKEiIUlWzIm62iigalhNarlSJ0PUVTc1XW/JLTqQ4AACAASURBVIk//kdwGP723/l/+OKt+KzbusKYk+Zh0QoFVSc3zMv3rtjtdjy+vacqC26urjj2Pc57tBV2VJHwe79PA+oPYmt9dXXFV3dvZpvufO0vry44HoQHn20wcpO1qVtW6wU//Y2v0x0Hvvzilu12C5yqwuw0OSRKaR6Cc84kmyEc+IcG+HeTrXNSQ4wRbeDnf/5bEDVf/vAN3//+DyiLikXT0tQ1Y1Kg27IBrfDxDwoPXp38m006oXk3bZPQJoTAm7t7KdnGnq7rnmSY58/1o76MUqkv8nR3DE78WqqU5fqDEym89zNzxGfoQ5d4IkUtGdYwiXxbMmyD1rmkO89mxEApB8/8lbmxGMkKbFHMftb5EDroyd/aIzCPStmdPaM9ys0nfOhzPDGfk3dfP4t/MrSSm5rvYpAZ2jmmAeD9KLLrOhlpwclYbRxHUCeB0WxJkI5zqAiYmTrn72uZRsdlU7ZxHKkSJTFT2M5x8pzdjuMIMfn15/kA6XXevn07N0NzH+EwdXINEvY/VweaNGRaPsPhcJhxXeccbhpmmmSR1K5d13F5ecnbNIEn29+GIHBNUUjG/OK998Qm9stPWSbqoi0Mi9py+9WXvHr/miyOMVrEXcHLeS1tMr9TUSwOqmKmi47jyPE4zrCaVB9J4JM1FpH5eg2DZI/zwGv9dA3l8ysmXoijZO67Ng3EQD926LLhp77+NelR/MqnDM6hy0K0Jmk9zc13LQ1f63uur69p2xZlT+8/4/e5IS+VnEv3kp57K+aMApyvm8ezWCzm6lPgRkliMv13mdhdfTc+scF4ErzPoJj8//NqKK/HKJhvCjinOHaOwz/5m/TvarXC6GIW7r3/8gNCCFxdXSXF6yAIxPgP98D5/R4/GQEeWFbiha6MwSrEPxtpbPZDx3K55IMPP0Qpxe2bLxN84mTcWmpkGhSF0pTa4M/EPjlrU1EokSihPoYQGOKIDQFMRSQw+YFxcGINW5UUVlObkmGI1Cr5jYSIGw+sTeR++8jLmyXGFHR1oKsN3X4g2EARzUxZVEgzbew7lovVHJjLy6X45iS4Z1lCrBTLSmMnCVxFrWiD4qvbz2hVT+wOlH5HaUqi1wRXU5iCgBZqJsIe8qPwxA0RPw7gJ4LzJ1FTdDRpOlTE49NACYU0fKKO+DRVRhmPVpEyYeDL1WkS1n4vQ66tLXH9gD1baOebiSlKopvwk08NVJf+ToKxD4GD38/ZdoyRyTqOwWNtiS1OVMcwTGil8SEZa2Eo7GlISc7cgXnD6bpOFMVlSV0Y3n51CyomdpOibhoZnFzX1Os1wzBw+fwDmqZh042ipnzYSrO/aSjKmmmYuFzf4AZHqaFuFnTHnqgVL26ueXx8xCbWdL/fcTweuaorlHdED/uHR5qbCz569SrZ+mq0KiiKknHwoCMhTmwPe7pxoCkrjLF0xzztzGC04b2LxLxwIyZanj17JjBRylbzeTbGoJKDZz8E+qFDI1CHH+T5XCfZ9sUCIiM+wFRKzyIcAkVRC5XSBb7x8pqv3ayoteL17RuOIwRlCVg8kbpUlBbK9G/kQmxFWplaNA0jfbLH1kRC39PESDlNmMUl7QIO6bphC1TTMHrPY58a0tZQejBKUViLXq1mjUfn5B53fSIV1DWffPQBy0XNbrdjGPoE8xrGSUzHwjSx7wbKeKQoG4pYEKcSRWTyRsYt2sRaArQ9QVqoNIhbKYIS8gBRHD6MsfS7CWOy31XgvReXMud5UWJNpDTS56qMh2nEhX+MfvD/fx5518wBQwQzw5MGiNaaZnVFmYQxw7GbMbTTkZkzcuQgmpt6+TjHeDWZJ+6fZJwqyMKKQVGV6cQXpUj1AxA0QRkW9QSDIyqxBK5LcPbkYS8ZiWRW/a1csKatcWm0mUmlt/cem167LE8QT8YwnRvnjJbgTxmzNlSmAIx4qSfmglJqHlzuvWOawiwOyhlK+f9y9ya/liV5ntfHhjPe6Y3uER5DRmR2FqlCaighkFr9RyB2sIAFiGbRCCGxoldIrd5BI1ZIjdgggRASLBBqCcGqmFEDTVdlV3VlVWZGpLuHP/c33uHMZsbiZ3bufZFVlQmJSqm8UijCX/h7795z7Jj9ft/fd4iVZcLuAdnYY4WS7gUkuEk948ILj/vIEDLmGG6cug44biyn9/fnOpWTe3b6b3n/x2CXVNnMdgcnX+eE5pm6ikT5nLug+E/m4pwmJN8Qee8K6QIOBxGQFXmJNRnb6Hsy9RKCnWCpeiE2DymUPK1j8aBpuLq64sWLFxyaHVmW8eV3v8P965+htKIf+hmK8t6zXtUs6xpC9Oqpa/bN7tk8JcFnU3Q/rSqB9lL1mGikTdNwOBx+bu0DDNHeWGAUfeSfuxNLh3RPwon4KagZ5tJxXRotEvTPPv0EtObd7ROj15CVDP2IMRaTZeSFOJEaJZ9XhSg/zIUGGUKgaYV4oIxhdI7eiUdRNwxMzmEVlHnOME2iHfkW3v3ttXYqiJttuwth2JRlye5wYL87CPkBCdMZhoG26+iHgFcTQWkyLyZkRHYSSqOIbqxxDjp3PanyNmKP4kl6gwCKuTPthp5mL797GgaWyyXrmCehhoHMGHz2G8ODR7ITvWcXqV+LhZzw1lqMtewPB0ZvMVZTlQtp8bREexW5JQuJ1vR8kz994E8PkXShq4WkSSVGyHq1Io/tog4whgnnDGWeY6wXT28Uw+iZmp7N2RrbDBzaDhM0SmcsSmGnVMsSe7aco+f80LOLJ7iqBKIZ4zR+GMQ/O7OK0spCK3IRcTgnlbXNrYQHj06ShZQVMpFShMnRtx1KGYIx4jqpFATHGDHGcRxx09G/x7kTdWg0DMuiJ4iNOGxyl2zbYWa2JPbNqd+LfIaBoI+ZtgmmSkPW03DkNOiEI/3vtMVNm/IUfcFPB7cJijgd0gKxE3ruBZJ+ZnrPacMbxpbLy8sY2zgw9j3r9RosKDRNI+EmOngO+0ceHh6i3F7gOecndoc968WScRrwDGxWSw77hsuLC/a7A0aJEO6rn/4JL168YPt4z9vXX/PdT1/Stq1kDsShrM2qKPITCwvvXeTdS+WZxyIjBdJk8boWRSGqVX2kr1rnZiz+VIOQIdVkGSnI/TiSeT1bX3dDhxlHlK6ewXqE5ypiGUKmA1uhteI7n77gxfUF//Af/YT77Z5mCCwXaykAjEWlOZt1GMUxdUwpbPRnyqsIPcZ11Q/yjJrI4EoQDD7MB+PYD/hovZ3WUhIKVlXFbiddU9J+DJ0jr0rqRckPfvADxnHkzeu3PO62GCPzq0PT0G6fGNqRYQKdT2SZQimPUhMoL12ZUnQhFlMcMXcTVLQWkc0dhJU1Rhp3iAXWzc0NTdMIO+vsjGazkecpK1mUBXXxG7TBJ7pfeiAvLy/nB9oYE0N8jyZZSimqvKDIRWjhJDFTNrX4+rYy7RRrmzefmJpj9FFyrpTCB0ffe5Q1TG5gvTrDuwPayAZgvUfF3ydDJIGItNE4C84FyjKf2T4K2GwWKITSV5aRwpdEJUF+Rm51HCZKDJtVGeMIg2bG7aehw3uHUpnwZvFMXiyDrQWlkqGSi9DHhIt0RGEZJQXwkQd8yntP1a73f7pPDICNG84pxhiCY5rGOazkqCIcnmHvx+HzzyuSv+1Fn37vDLOd/Pfp704bT/r7p58r/ezTwZd2ZoZsALIYeTdNMnQzOqmOYRwmjLZkdUZmJLCiaffSDQUJliirAoXQOKuqwE0elwkl8tWrVyKOand854vPGZqduCdWJV3fzAwd5xwTniKPLC03UJQlwT8XopmTzT1Vqyk/NR186TBNVrWnbKIyK+YwieCEsJBmH54wP3N/mmDMKIktDOGoqTARVl2WlpfXF+R5zjf3O3SeM0yC4bsQQJs5oGUKcXNXmn4YZg8dHcQZVms9D+xVELGh1prgopV1nKslhtxpl5PWWto30vv0XjqIlP9QlBIveX5+js5EPCfwbMljHNQ6pfA+4JwodLXWGO9BT4DCIYQBoxRaycYujg8x7Cat4SCZtmkGVNc167PNTFM+HA4zQ+zi1Svy7DfITdJYy8XV1TNForjtlbOwZLfb8bB9EFFHvaAfOh6jU91yWUNQqBmiOeZ/pof8lEGhlJoHZzoufodMz8vckueWh4cn2q5jUS9puo7ri0t8ZtFaePFKQV3lPG0PZMqQa4UqczAaFVqKLOdssxIlZ9OR5yXrqw2bZcnXX3/NshYYqiyiFUCMFltUUZAxAMSKfYA2VOR5xtjvufUDQ39gGBrcFMhsgXeB4JywXKzYvQbv5kxaP41oJIkJkzbFbN5sbX7UEjjnaAdh0Rw3kZOkeeeYYnRasv4VJktJXq1mdWgIYR76zdi59z938D5j68RN+xS6SJAMHDn3qapPZm7ei+/46QGVDvLUraX1kIatSYuf5yI2SalYITS8fHkFwIebDzPNUWh2DbhAllnOztcYFWaH0cN2x6uPP6VpWpZ1xddf/YzPP/2Et9+8YRpzrq8kg1VpWK4WvP76p1RVxfe/9wXvbt6yXBQsqpI8K1E6UFhZC6cD+8LG6xm/Po4jKgS0Vph4+A7x82qtKaKVRHoF+YEM08SyrjFWg/NH6iEwTSPOe4zIT2TQGlWVDsc0ufl+yoEJOjiG0fGdV5e8+vgS/4c/49D1WGMZXKAdPIvlGV1/ECsFL06v2lpW1QY/TUxuxFiDd5K81CVCwknsXhEzTadhiIbfoms5HdafHlDr9Zr1WsK9D4cDbdPjXKBtRb1ujTh6bi7PjglMw8D55TXfvHkj6W1ePKCECSOFUcBhlKJXWthFBKwXpgzIhq+iQpW40rB6JpDkec7Lly8FhtvuGMeR12/figndJy+le0+Mul/h9WuxwROYlWjf9pxIYhZhjWTU1WKu9LMsxdIdPUm0tgyTDBPTTT9l2yQO9akqEEA5j1V6FjoVRcHd3R1nZ2fcP4ghWL3MmCap8jMf6NoGoySJZrGs2G0btILVoo4+4y1FnrNayGdx00Ceac7Wq9kOdRIPYFaLCmM1YRJjqssLoYE1zR4VDK0RqfZyvaZvD3x49waDxmhN2+zxQZHnFQrHNBw/q1aGsW9RQJbFyL9Juo/ToO30TxO92Y09hmbL9TJCKTyhjvV9T15UszukUmrmG6dNKUEsqRtI7yvdLxm2Cm88xSfK5xYztzzPyayRYPMoYkmh0mlzn22V/THoOEEyiQbnnJvXVNd1jFM/szzOz89RRrHb7jnfrKmqinffvGcYO5a1GKUdDgeM1fN9enF9jtJw9+GGqi55fLrn+vqah4cHqqrG+ZGqLhnGnuWqZrVeitlUmFjX9ZxZ+uqTj58FrhyZQpDnGZPzMXIybhRWzXBFuoZGa2zUUaRnJQXRJFFbmhtYa+lbgezuh4E8MzNuT9IYRBgs3Z9ULCmlRFSiEGqpcdE2wqOsiMYm5/FO8eXnr/jJ128ZG1FgW23x4zR3E8e8WFlHRh29g4jWCil8A6SYMPF9pIjOdN06f/RSSmvz24d8mtm4KbDd72coZ3IDSi1ZLpdcXEgI/bubGznUNxtMlrF7epBnIhYowzCIolxrBm1mryy0mVXrLkKvJu4n8jkUo3NysGlNvVzOe9D28UmC4xcLGaQj3c2v+vq12OCVVqzPz+YTeBxHbm4/oLXmxYsXmOCZ9p6LSwls8M7hCHStVCoX0zmTl3ANRcCEn68IgRlvBeYF7KYhskgAFciMJmhF3x4oy5yH+3vONhtev/6az77zsRiQTR5PIDOKsjRkowwnyzzi7VnFMFTzRperJJ8X/P36+1/w+vVr2rbF2oyyrLHxXlbral6UCk+/EBl58j/Jc401gW/efE13aCNMJK1gmEacdwwqeY/oKGaRB3UaZVObxgh1ZMVx4Bw33yLK+pU9JlnJtTpGKOZ5Th71B10/nmzGR5FUgnvgCJWkUPIZXlHHiuYUokmHRwgCZ+0Is51A+lq6hyli0XtJ2Er+8ukgSa/TzN3U0hdFQZ7l4vW/m6jqksNB/M3z2VsndhFGYa1hsaznr7lpmr1N+r5nHHouL8+w1nJ/+0RZZvR9Q12VjEOPcwNaizNilhmmMZODPpfOqqpKityitIju+t6jjZ0LH8GVi1mjMN+PeH9SwMpyuWQYBh4fH2d64ClMmUVRDV7ETk3TxENci6WvUfi+Y1Wu4sZ5pAQae+II6hRTEkZ5eY/GZigr7+s7n7xg+tk7zABklYjDnI/eORFGQ0n3yIlINAp9Vln+jEjhTyy056F5ONpBp88HJxqY+EqhNNcvMkyED0cvTLxDs8NOOZdXF1xeXVDWJR9u7sRbqCpYL2uenp5mq2itNXqSnz2Eo6HYYAxjnFNlka6bnFCrqmL0ou/RWouJYAjUyyXr9Zrr6+tIoAg8bJ/op3GGl36V16/FBp9k7al6SSyEVNUPkUZ1eyuKwmmUAA03DlijePXyI3wl1gJqUqjMzKftKRzwbfaGsEAcOuKtGtmolVLYzPDJ2cfcfPhAXZf87u/+LmP3T/DZF985UUUqFllJExpCcKyWS5Q1EmUWqtkpMdfMSjvQaD3xxecfYU3Gm9uHODiMpl7R9z7ToqSsC4GX6rXY1L57M5FnmpcfXfP6x1+DdyjlUBhprUNAFQUaxTSkDT0afKnEttAyhI0V3zRJ0lCCXIwxEJ7n4ua5PCDaHLHX9P/SRp5e6WupykxwwbeZM1MMhTjlHacqLD20xpjZBviUbZX+btrsQggz5zt1D6c/+5Qjbq2l7wYxjBsGCiXeJ6vViuawo+8HrLaUVUFZG0TXIIdWvYwcex8PkCABJwRDURmUAufkQO66jrqWir/tOrLM0nYHnp6k2Fgu6vk9lHHQqLUcys45TGbmyjEdjEnJ3UcqKECnhI2V5wIRNr2IBuvVktE5mu3Ts+HlslocnwmtyIoCGwJ4icJcltXcHaT7mfBnGSfK3MtzpKL6oNDOk4dxvtfny4JPX17ytN3z/qnBKEMRny+lmDUvKq4HneT/cfg6OY89WQtDXAPDNLLf7+dDmuG5FUnqCtM6PV0v6/WazZnAiPePW3yQwXVRVfHZ1Jyfn3N1ds67d+/YNQceH57Ii4yml2u+P3QYE/2Rkjn/OOHGiU7J7x2yjPFEjb2cJspVVIcrpNtMnyt2JclhdNrD5CDwGwLRnN6YNJSbcdXIpvHec3kpg6G2lY1+93QULbi0mcdFKFj5z5v6pwclUdq0ibFlaRyiZAPMo4lWNTM4Bl6/fsPF1TVlxMmVEqqXzaRdVMZHLnY6TOT350VGwM+HlyxO0KUmz4U5oZXCGHGWK4p8HiT5MOG9wTnNAvFFwTtWq1W0dYgbaHwvzoNVoBFMPkQ6mfc+RrOJ5ayOw7T0EOtItXNJ4OGPgjD5OzJomsssLRuKsfnJZhpmvHeapllNmKCgdBC0bSsbg3ru3/5tOC39/rZtZ2UkPBdIpQPplBqXYKc0mDwdDqf3IzRcg8nT96oY7J7P71UrOWS1lnuSOoVxHMXQKwSmQaIYV8s1Wkfox0lMZFpzyfwsLwxK1+IeGNePvFc1r6FRg1bxUDIFSp14kSM3+HQInq6dCACHmeevlJo7nTQnSZ3V6YAaNDrRSaMdQGu1MHOeYcAnjKUTz/gUOi1cgeMwVmlN8I5VLR3p475ldAGHQquUUBY7Z3/c5A1Hk6/kszMf4M6Jgt2LWjiEgFOKMjpLntpbnFpWf7vIS8E4c0fY9vHwlLSsTX6B0Z6LyzOqWgLO207U5/3goB3pJo/2E5l9TkOdg/uMFRfLSKLoxwm64/uwSooQZWQ1eJhp0mVZkWU56jcJoklRWSn1Jy3gdHOKoiAoof7VdYmbJhZVOTs8ysJSR9XpnwLRpFY3QQDOOSqTKHqyyYcgHod1UdJFifw0DHz55Zf8/b/3e3z+2RdsLjYoNFlu6ftWVGjThLEKrYUvnFmhrgnzQGONYpqSss/wJ3/8Y/q+Z/PiYxaLSlR1kyNbiIeHSbaazhDwjBMsFxVu6Dnsnmi3n/Cjf/gHssmMI2hPwKLCkX+ecL+izOna/ug34qOplDoaK6mTgaZcz+OmmJhL3ssBkGUZy/XZ841HrvrsB5Mw30RXG8eRt2/fAsz3OI+HZ6KwOudmWl96sK21bNYrGXadbFQJckk47HxQRWy268TQLYTAixcv5uooVf0CYWXxe47MnKJaoLQMc/M8Z5npCNUsZEbRHJgmR2EztDYsK/H3FgviaObWDmSZmwuB1KkMw8D5xRlPH+5p2gPTJKZlq9WK1XpB2+yeMWCUEo79ePLZCpsJpBIPuWSBnN5vURTPZhUpvi4VNyB2EGWes1gsZOgeX8neV8kEV6r0ECCJ3WIRIn84MUQHHh73ZEZT1zlFbiiKXNZelnF+tsJheXvznnEUtonS0TlWiYe9iBDNjMULBu9jxXygbVtu7+/ByswgKwrBuY2eQ2tO/Y/6vp/XXtoD5J5b7h4epeiI1hld17Hb7eYi4tDsyKqcqshZVCVaWe7WD2RFST84TFFzc/OBvu95fLyTq2AjkSAeIO3QR2qzPF8TgUM3zGQBay1XXACwPFGRa62pF2uhbI5HPc3/19evxQavgwRW+zybN6ypa7AEDjvxJslMgVYiQgha8Lj1ec3h4MAGyVs0BToGR5MptInigoizl4XwyxWaKca1+WDIdIbNDNM0MPkBjGFilIW2WvH+/S3f/0s/4MOHB24f7yiWBdooeegBqwzKBPwwEXRgRNr31F2UZSkVfCE3dnI9i1XB+9u3tBR88vHHKGXou47Vci3BEX7EKk2xkAzLLP6sqS6o9Jr75ZLV+SXv37/H5BndOAIObTR5KAmTJ/iAJ9COA0Ve4b08tC5Elkq2xAXwTpEp4eoaAiY3KCamqWFyQ+TTF+TWUhSyGPEj2gW8G+g7ccPMsoy8EH9voy1WZbjB0w5dFHJJiEmZC7Z4iqWnri0dKqdhHUPbo4Mi0+IIOHbSBqcqzKApsoLBTQzTNHPF0wEz+YDvxZ8nz3MmL9atiZYGMigPU6BaaPzkqdbnFEXB2WohFgWtMHnapqXZH7i+vqYqK4bJsW92mKwgq0q++fA1i7JiCiFmoG4BwzQOlEXF011HVhhMVrBZL6VYcQLz5FYyEdwoXWTwmqYZCHjBxrVlmBzWZrgIQWhr8cGhlWVywujRWjxl2m6InYwEk4yTbJhnC7mHRYTd0jodJiEpqLhRTZNDIeZ6grk7lIvaFHMMzTDGMHmBSP2QE7KSaVBkVmOVY2lhvYEXOuOrJ83ToWVyCrJCzP+MWJEQxojND3jnCLrCOc/9/X2EXDSFLbDKUmbVPMx8aA0hVIzTiJt6cmtYnqcCZERHtbJAa56L9fmJYEszNS2hH9DTKJBL23I/taxWKwpbstrUKCsD3ubQYoFpt+WhbygqGfR3gydoi7bLOBcRL6LgO5g8egi0tp4PWQmQaYQcYDxlmR870ELmZvY3hSaZUlGGUQZ2wzDw8CQDDeIFeffuHefLcwKwPt8IXmnF6L/ve1prWdUVcGzpQKTX8m+prsbheMrLwE46BaUT7KLjG5JKahgFu5xGCdr+4Q9/yGeffzrz241Sz1pAGciJf/i8wUSIIhmqFUXBy5fio/2T10989dVXfPe7X1BXlYQTLyqWixKr9Mz4SV1NGqRdXV3x3e9+F+897yOVb846HSOlSxmsNtioKsyKStwJYwbkGNLQSpSJomFXTD7Q9xI4YYxBK02RS3WjtCUAk/P0Y0eW52SZVClFUdAO/Uxh3O+3M3xiI73Pe8d+L/J5k8vXumR7HL8veE/fHWXayfr2FFo4FTklczUX07SstfJwFs+FM3VdS2hGWRLc0UYh6QtSJRhCmK/3u3fvZn/yYRBLhtVqJWt0HLHm6Bvy+7//+3JfvcAU79+/n8U21hyVvCEErq6ucGPP4XDgbLWUUGjnGIeRMsvRBna7HahihlymKYmgjp2Xc6IASZ466Xecwm919A1KnzGPnvz7/X7uhEA6tbRep2mijgEhyb1VuoI0mI8xkc4xjvIzggeTTTw8PLAoKxZ1ic01LgRMVrC6fMF3zy2Pu579oed+2+CBiYDWoILBGoU1mhAsXTOwO4jf/mKxYH12xuHQMkYYRinF2PX0SIC3NdGhFU/X7GdcPzMGwiQFj+MZ7JvuxXq9nllXxhi6oaFrGtwwUS1WnG82VNWC5tDy1Vc/43a9xOY50+GWtu3pQ09eVmibM01+jh1VSuHUxOj8bO+d1m2CERPtNwnabKbm7uxXff1abPBJIJKcFIWfLpBBG6EU50TZNzlHUUvLGSLmlih/z36mUmhtjxBNUM82dtnwAzocB4ZKyUI4SsIHXKx6D+2B65dX8wI45d0KLsmznz0Mw7yQUuWY/n6CL9brNXneAp6nR8mYPFuvGMZebE2tp8xyjLaEcKw4ElNltVrNgpVT1oCSL8S/Kzi+0kS3TSWbxBhQRmOUQBRZbhC7gwkXxO4AlWGzGMcXOdnOiaAsBKjqpWC6SjDEYfJMQVR+qNi2WjkQglYzayFdgxA3oQSXGGNmBszpRu5PhrAJn01/Ttz2oigYRqlq04b97aF6OuTlGoQZk65jjFqWZXNk4WyzEL/dGINDzOk8MBx2MrBcVDPss1ys6bsRH9eZVUfzNlFmdig0X375CcMwsGs6lst6Hp7WZYGK61R5cQjNi+oZ5c/GQJiiKOfPp40SHcTJdUuvWbjnjwlfKnrHpxlFyg1N1zOFq2zq5by+T9deei+nzBzJgvWMg9BQdTSdy0wxi3xsbsg0LKsCFRALAq/pJockp8U1rECraOU7jBL6EYrj/Ty5ptZaQj/hlegArFZMItGOmoPoDX7CGPJ+etYh1nVJVQnWnoRbk4sOk6PD6Iw8L2bh1HK5jPCWYVJr0A3N6HFeng+HQk0OF6AwkjVdLCza6dlcLa1Zgf2OStu6rllvVsf96Fd8avg4LgAAIABJREFU/cINXin1GfCfAB8hz/HfCSH8B0qpfwf4V4EP8a/+jRDC343f828D/woC3v0bIYT/9s/7HSHS4Gw0v5fKXTbGD3d3dJ2YAmmnaZ+eGMdROL1FjlKB2/fvaa3l+uJcQjasjWE04u09jY4QpNLQWjNOMpwaxwETB0ZVJV7MwcuCbpqG3W7PYnk2c4C32y2Xl5fzgWOtluQo76WK0kffljGyOpIoRYUw/1shntzr5ZLlYkvTNNjMYKzm/v6eelFxf3+PtZbLq3OCVpSRw57k2ovFgouLC87Ozrhd3M0bkzx4Its34nWEd5MEdBiNMkqGi8Zg8jI+pIFxHJiCOFJOXmHzGm2z48DuIJa/2pqZd+6ByQfx6QCyTLFYLeeHPx04abDXdR0+zlOstXStWLwmF8GEm377NbTdXCWnwzWxYtKgLG1eyZI4USJPmUGnOL3QEqOaMwjv/kMMoEisrjzPOd+smJw4PCql2G23tG0ral2tY4JXz93te66uz3l63HK+EZgqK3MxG7N2PpiMMfzkxz9lGAa+/OLzqLe4p6pKnJMw9kQRrSrBa5OYKW1o8rlTMtWE89KtnbKQ0maY7JXTQSZKzOMwMmlOnp6eng2rh2Hg7v0tSh293RMFMz7j6HSgaM1isZLCKCiMKVBodvtOTNzyjKzMICiMG1nnGaXNGYeMQ9OhrWLyMIXEtFL4oJicbO6Zlk3STxPTNBwzB5wUcJebeuafy2GW423qeBxGK9w0MHpPcI5mv4+K40o47HE95XGdApTWsN8fGKaJsesYuo6sqsmLii+/+wXVcsHjdsvT3S3jMOG/fs394xNNN2BthjhgSlpcZi1VWWF7NxczSb2aoKKylHnL/f09zSDPwcXFxS/ann/h65ep4Cfg3woh/J9KqRXwfyil/rv4//79EMK/e/qXlVK/DfzzwD8OvAL+e6XUbwWZYv6pL60iRSgcpeoqVqlJ9p4GY6kamaYJW+TPginSS6qOaAMabUOlIlMM/RStAgT7HKdo6zrVaJOhMLMBldbin3F/f89mfT5T1LquE59yD0X0Wj+tONMDlhZiqsBOrtE8QFwsa7peKofcxI4jKDzyYB/2LUXhyZbHti216Mvlcg6hSEwNuXaSKK+UQyskKUoZsVlQHmFEBGCS9J4QmFzABWKMnhbRhtbCfHDTrJxMlbEnbi7haCBmIx6cNul5qI0XqwRExemj6tGPkwzanBeBl/Moc4S60n0+3djT9T1l5KTrkZ/I9E+rzETXTO/nuEae+xQppVgsFs8GsgnG2fU91ih8OLpfTh6IYitjc+7u7lkuF/N7k8NCWDKJKJCcDmc47cRbR6ljtayUQis7Fw95MgE76VxO19O3rRpOYcNTFbEwf/oZhkk05L7vZ7FZggLrOFguT4LVm0M33+tEndTaYE2G0wE3OqxVoMQPSXB9R+UN3oG2UlBYAlWuGUZwI4DCO48KBhd8JCeomW5bZjnOT/Ggi8+Ckd+xXtacvmRG5BmnYa6Wjwyboylcej7TP6cW03klaVqjd3T9xOAm8c3XEzrPODvfYHJL8BNDP7LZH5hQtLcPkmcRAkEL8dM5R9MNEJ5bcH9r35y/1ncDwcu/f9XXL9zgQwjfAN/E/94ppf4A+OTP+ZZ/FvjPQwg98BOl1B8D/wzwv/xZ36CU4v7+nqAU5+fnUkFM4/xwnt6IaZrmaX+6UBcXF/hIfSsWsc02embijFPE2TG0kV3Rj8IuuHn3PppO7bm8uqBpmsjyyNBq4PXrtxid8Y/+8I/44nufz6ZdqbVNlVDAzynvOEeVS8vnxyn6g/cUNkbKRfFKmeW8+ugl6+WCH/3oRzR5ydnZmWyKHpwPPDxuJVgj1zOWnDD5siz5+OOP+f3f++H8PsZxJM8MeVaAUrjgwEn2rBrM7DSZZwV6YP6zMkWsOjTW5pJyFVtUgEIxH1rpug5TzMCMXVcIQVrv5hgl6L2n2R/m79Fa49P98McEp7SRJ3bT6UwjHfJwhOLScDBV21kmYSyJCZQO6CRu2+1289rJ81xsm6P/StfJEFK827NnwqJUZc2dJSNZXvDw8ADA559/jnGOm5sbXn38UgqCuyeury8JzlGWou59+eKap6cn+r7n+uoFZVnSHMRT6XyzwHsJ5YjcLyBSIYEsP248ycN/s1rMh1VeZAz9OHcKiQOeDuO0maVqPF2joihmmCbBhlVV8fbtW0miIqCNZtccsEWOcxNNDKtxk/y+MMnsR02G4D1dtPwuS+mi8IF+GJhGz3pVUroOU5RoFOfLiiK33Nzt0MHjRbWHJmPyns1mhbWWb775BlRgaDuGsSfPCi6upLrV2lJaxc3NDUVRCHSCwmn5/AkGCV7Wxth3s7+SCh6tFG4chIPvZeNfLpfkKqfMpOgcKnGT3DYHukE82y82a6rSkhnD0+OW9XZPlpc4DPvdYQ4kenl9hTGK/X5LWYhJYoJiTplNyRMpFS+JbfOrvv5fYfBKqS+A3wH+N+CvAv+6UupfAv4eUuU/IJv//3ryba/58w8EpvhAEx/wU+w0cZadc6wWKy4uLuZps1yUo9y9bVuqvGARY79OMXLvPX0XhT+Tw7lj9F9yRoRjCMIzrNdPs8T9tDpM1Z2IU2Lkn3pubPXtyv7bGKnVmiLLWFQVbexSklWtiayifhrnQVj6OQmeOB3EpArExCrZBAl+GKdeqJFhRCG4+DgNqHhdPBptRlCarFxCmBhHGUiZECtErdFGuMkigorh38ER/CR0NyA44VADDCn71bmZky+HoVTQeUyPb9t2rrRSlXmapzofHurIkU734RSfTht82vhSJZp+9mKxmCvU1MGddli73W4+cFKFnZf1rAMYhoFx8pSFoV4sn/G0l+szoc7aHLwX1eZ+S9MeuLq6mg/G5ap+1nFqrcUVVMmwWOPJY2i1OuGEn3YcyW4j3fPZRoCjknN+tr51nZqmwYZjVF26FsYYHh4eaJpmVlCmnNI+Om2mz5rgnNVqRZ7nHA4H6RC1xpocD3TDOB/4wTsaH8SrKAMjNwoQeETSqjx9JDx4xPZaZ1pgUGtRIcSsW7nPCU7ZHXb0HGcx260M9st68YxGm6DN5EF1eugnyDA9z4fDAV3Ws/VvWndV7AQPbUvXWPLoi2WVZrtreHjaUuYZ1BWTGwlOICUQTUu6B6cahnS4JojGe09VFOJt/+dtmr/k65fe4JVSS+C/BP7NEMJWKfUfAn8TKTf+JvDvAf8y87jx2evnAgaVUn8N+GsA51cv2Gw2qFhtSEslG/suTvo3mw0Wy2effcbTfstms6EderSGd2/fEpyD1ZJpkim+Kcr5oehaqWg+fPjA9fULlFK8v7nFOzhfn/HNu7d8/vmn9N2ANoa+G5hGh5sC0yiSdK0N2+1WVJDRfldrGCILQxtFP8piwosvh43VVHCOMg5Z5WpElzmlyK2i3Kxwn3/O3d0dbddQFhVeZqH4IEPnVHWkoVlZlvOgNvG804IusniwkTxjFMpIwIYPMisYh4Zx6himSaqgaoHWlrY5oJTGGBnu5mUdN6GcTCeFqJefYy3BDUy9m+cm49g/EwTB89R6GdDKddg+PM3VezIAs9aCUrPQJuHIafHPVLKIvSfIqu97QrTMTQ9x2uBTJZe8WEIItIf9/N7S73nx4sUM8aRN+OHhYYamlFKz9L85yGGw2x/YbZ/EriGakBmleHx4otnvOL/YEIKkMF1enQPgR4FEqqJAZ3KgT9OENQGrdXzAs7lKTo9PulanGbvycHnyaDvxbUVw2kgStNj3PVW0oTitFD98+MCrV6+YIs1UrBekshTGl6Jtu9hBKRaLFbvdgcUi0lWNYZoC/TDRDRM0cs8WVSnPZhixWUmooVIQggz2i8KyWWn60TFMO7rxWCi5UXzrL87WEswdMxJUkHlZriUkqGsOM3bfdHH9BcP2sOewb1gsl1xeyue8WFmC1ZRFxiKSNR4eHiAIJVThRZ3cDWR5nHnkBh00NhMvomVb8Pj4SN/CannGZnHGul5w9/BIZTPaQaIBH5/ueby/Q4XAZrOaO8503ZNXUN/3LGOcIsCyks3+sH36ZbfnP/P1S23wSqkM2dz/0xDCfxUX283J//+PgP8m/vE18NnJt38KvP32zwwh/B3g7wB897d+O+R5PluCpszNpmlmu1NrLYUuWK1W7Jr9ScCuQAf7w4Gbmxvc+cjHL1+yj9WjdABj5OrKQMhEGXHTdby8PI9WwUmld8TLU6U49OP84Jye9NM0zTRJfUKDS8rR08orVVjfxkeJVWC9KDHmBX/yk58IJTHaF4vzXEnyAzntAFKle319TZZlPD090bYtm7OCzBbCUpgcq6VhGB3DIC6BZSFtIr3wxkOswr33hNERjKbMM/JMU2RBcHsl0YNGxyEYUpmhI3aqREDlJmhPcHPvPX2Ssz/73DCMRwbNqcoyXaP0GcPJdfw2VTJ9bRxHgj4qPE//7ungcLbdncYZdklFxekwNnVDNi/QhPl9ps26i/ho3/e0cVNJXYdR4Pw4x8gNQ0+RZ3M3UdrjoNhoS9ccGKeB9fLIk07tu6zJY2Zu6laXdTmvb2P1s3VxWs2nlj9d9yzLsDHkIxULSeTTdR2PjyICWiwWHPbb+ZC+u7ubr1OaUTjnZnO5Mqvje7S4aaCNsn6tNcoHdJjo+hHDhLGSn2y9Qpt0yMY5jndxfqTnjOPlcokLYY441MrMs5PN2Zoiy9jtJFAFFe2hlUZrS15UmKxgGOX9qvWRPZOuUzKhOx3MuwDOR3O1yD5LlsCLqsJ1fWS+NNjJUhY1VxfnHPYt++aA9o5FaRkOW/q2IdOK3TDMVMgEnxXFc/ZOlmXUZYFzltz+xbBoFPAfA38QQvjbJ1//OOLzAP8c8Pvxv/9r4D9TSv1tZMj6feB//wW/Q6o0f3QBTBTAc5grNDUJkyWEwJs3b7BFjjGKx8dH1sslZ6vljOc/tV2s4GTjquuavu+5efcBY8zcijdNw3q95vHxkfPzDdPoZx53wrTF5KuY27nJjcd2Oc/Z7/fiB+7jjGC5nB+u9NnSBjE/tPFzN80O5yU5qKxyXrx4wf3dg7CBsowQFE+7HZvqGPOXXqn1Xq9F+ZZmE97t0NqgG/AOsqLEmhyiF/ZytcY5x/3TA08PD/M8wbtA17YyeHUdnpFhbOSzlOfovo1MiTAPrnR2DAp3zqHcsbFMm9XpvCRVlMIuktbbKMU0DEwRKlNKEU427+Fkw4WkX+jm6nseOkZVZnpQ4SiiOrU5UEqxiFXSkRFlZ+gjHd7OOdp+OM488onBGIauiZ1RT1lk1HXNYrHAtwNuGlHB87TdslwUfPPNN1xcylzp9evXwrVf1POGnT5jqsqVMrPsfr1a0aXh+Qlsma7jKZSY1kKC7NL7T/TcBFVkWUaujjTJdACmjT6xbYZh4OzsnPv7e9q24927m7kL6vuBP/qjH/Fbv/VbfPXVV2itWVYr6sWS5eqctu142IpXzMP9E5OTQ63pBlYrxUdekVvNVAeyTGMzGyEQhws94yCQWJHlUCiskQLgabcDxOr44fZOOtjzM87Pz8lyeZ5vPtzKAbVckxcLTC4F4K6R2ZkaH7m6upo7xhCOosRxHOfu3NaVXPuhJx8EolmVlYSNBM/FagmrJY/NIRIjJoo65x/77uf0w8TXZcF2vaJQE7fvP/Du5i1u8XLG2hM5oCgKQSfiDAig3UfK9GrxC3bnX/z6ZSr4vwr8i8DvKaX+fvza3wD+BaXUP4n0jz8F/jWAEMIPlVL/BfAPEQbOX//zGDTxe+YN87R6zvMcFyumw+HA4fFAPwyUC6HVXVxfkeeWq4sLqqJgaBum/lhZCef0GCCR2s+kaksDq+QVvVzWTEEYGX03zgM9Uf1VODfM7ze9pkm8z5Vm9idRkVN8WkmdbvinLxFTjViT0feSFn/YN2z3B6xz5Hk5V6Kn2H7i4SemSYgYJcDQ+/mBVhhMlgsv2eZzdQYwhcgXhmi3GzgcRGjW7PaAjt4n0LYNXjEPmFXcXG3I5wpxmCZseO76mDbhbzNgrJXcTjh6v58OnU6H6l20Ez7F5L99LbXWkNgnSQ8Qf1eqkNLXz87OBEuNs46EQe92u/k9Jg3DuijntePdNK/TVOUn7HS321EQq+z4ntLnFquH4wabsP9UHUOiksYshOj2aYxBTdPM6krX5RSiyTLxOUob/nwtYH6P6VCdK0cv1WLK0k3PQ4KKEiXUTXIPU0B43/dzBZrmUYkyCrJpOa9nD6LlYsX+sItVsNz/tuvphwmw5OMIypAXcXZkEtsnJoJZ8YxPh5eIxg5zd6+1Zux68mUlg98IyY2Dw+aR/KA03nFUSi/s7IV0GjSfZdmzuEOvjmw978KM+Wc2pqyNI0YpVouFzOdG0eXkudB0N2drCeJ58RKF5+bdm7nYO+0gErc+raVvK7p/1dcvw6L5H/nTcfW/++d8z98C/tYv+yZC8JSZ5mKz5P39A6PzeAejm/j69RvuHx9R2vLRizM+uxY3x1efvWKxEFxr+7TjRz/+KXUl1ptP+z3tqPjmjVD0Hx4eWC0WfPbZZwxDN29Sm9WK/Lzmvnni5cuXbPuBPCv4cL+l7Sb2u56H+yd5oMJEnS+wOqOsK/oubjpZjjKGIVZMVV0ydVItbDYbcm0YhxFbFuAkYMArhzIBCLhB0R1GiAG7Q3fgfLPh8fGRtu9QtZzy3dAQVEFVr6N/usEzst0/4a3lMMHBS2rO2eKKKsv4ZL1mnAbevX1LVVUsl0uadk/wYwya/pjMLBjbhqtXL1ivFhAHuvvdgXEcub0T5kf+cCMHiYpMFi3dwLhz6LLGhUBlDD0TqAKtFZVVKBXIDYBDKR8TsDxKjRgVH2hGnI8h0jony+Uaee8xVrGuF6gkl58mCIFpHCI0IMZsQSsG5wlAs9vPm7vrevFN8R6jDcYq2qd72rwSQZTWOO9xw/gMo+8GgWsKDWPCddGRrpuB8iidcRezAkTdemC1WonK0xiCVhTVgiIr2O935FlOpjPa5oGyrumGQdgpynJ798DlZs3QDFxtKvIiox9aMm2xymK0EUZK9F5SOnZRiO6hiiZvzk8QFHlmKHKL9g4DaGswwROGnlF5RgfVopxNvnJj6GOCRq7hcNjz4X7L2dkZXbdjGFrphvqOP373DWWR83v/9z/g4uKC1WLJNHo+3L7n/OyCzOZ4D81hz/ZpR10t2TWOw5st5wsY2ncsFgWfv7qkrgp2U0teWFZ1jlYBN8m8qR9zwuAJJFpkwXplycsyWjY72n7H437EaGEbFRYyrVjkHpuV9HEusFhWBK/YTiOuHdBmYtGM5EZxfbEhMwqrJ8p1TmUmtr2TZyUElmdrmdv0B1zIKcscMsBoaiXrL2tbDl3L0Ldom/Hll5/Q9lf86E802bLkvmnZfnhL13qCX2DsFZPXoAu2zcg4NnykZF2ZqsZWFQ+H5pfdQv/M16+FkjUNtvZR0aVNxv3DLdudfMDLy0u6fuTy8nIWWqTWs+s68Qw5O8MaMVva7XZMwzB7WHRNw/3tLYvqiHF2TQPeU68THCN4e/DMLXLbtjTNgSzLubq6mk/XLMto24Yi5nMCWCOCmrbp6FUUB8V2zGaGcXLYLMMHcdobEltIgzZqNtMqSmnfh2FkGj2ZdWjlQGeM4xSdMnUUb4WTzE1F07eURcUU9Jx5WZU1Lz96hQ/CoFAY8TbPS3JvWNY1u3EQ6lZVsI6VUJ4VkeeuaJuOfb+jH0eUEqipafsYajKgjEF7z+QkKFmdzNSNMahksKS1OPkFkZZ7NeDiPMMDQYFRC7SJ5lghiMw+yEHhnGMIowShZ8dqPomodH7i8hkxU6XFfkIpJZuuDwxTjzX5DB2l7/l21ZTgwgSxwRHiSdLyYRie+c8n1lfTtdRVjs0kJKVpGrJ1DFWO3UpeSeV2+3QvQ/TVEqXFY/1UlAXPZznyXs0JVPOcrRVOOpsE/5iTYXLQR45/cB7nPHmRUZQ5mbd4N+L3Qhe8vLzkRz/6EW/fvuOLL77g4fEeH6HI+/t7NpsNAJMTL/NpmijzUg5zC5vNBqMzdnf3VKWhrFeYTARit3dPZBYur9ZARbkUZlhuMzyBMUhcHj4gWQ2ScLbMaoaxo20nxrEHnQMaP04zo2jugBL/3XnB53W8ZkoxjSN+9EzTAqMMVh+pqHmwz+C9EAJD7EhDyCCuJ61AqaOL6jDumYaexWrFernk5fUVRZbx8ctr9Njw+pv3eN9RLCasEs+Z4BzT0NMP4ppq85p+9IzuN8SLRqGo6uWsanz/4Y5+HNjtW16++piL80vxaw5SXd7diYNbWQpWaLTl888/Z79rZtfC7f09Tw8PPDw80MYQhyKqXFf1gqqq6A4Nh0P7DA4I+gipPG0f4/BtwFrD/rCdudWHZsf93UPE56Vlvby4YrvdMvRTZFp0oDxnZ2dxM4kGTkqz3zWzN4qwhQ7sdjtW6wvyrKDZj4zDxNhBUYys16XQ1Zbx+5s9T09PMf6tplxUTJPn9v6R/b5hs9mwb6UryPOcy7NrqsNB5gWRBheaDqWgrHIuL87YrJZoIItto1aGxUpUmQ/nx2u9Pttw++GOd+/fC8RRL2fcGpjnJEXCtIc2wimy2e1iwEROexyCxgdv3Gr2WrOMMWvjoDmMJTYTdSBojMnQKgOv8d6hlWG5rOhG92zz0+ZItYU4zMssVZEzcRx2J4hou90+szgYhgGr9KwEPeVVbzYbuq7j9vaWs7MzAIqy4v7uVmwq6lLyCRw4p/jkk08pipz721uury/FgrbpsdaBNpyfXdK0PctFRWYLUAYf0vziSL1N0vayyk8gL+kglVLkaU7BcQifZ3LA6ghf2fI4zDZKhr1921IvxIzvsA/Ui4rrxTkfPnxg7Hv+6X/qd3j9+jVnmwuGMDB0HZ9/9glVmfPHP/pHnF9cUdUytH16uGO5uaTb7XFec7995O27Gz799FPevnfUhaXIDdMyp64z9P2eXdZw5S8pq4L1QjrkyYrDa+ILuSD3w3vPxWqNqxeiQH4aqBY12sBmJWyUxWKBthmj6yhySzc6vBsIk8AsVZFR1zlGE++tJSgnecvWkuuMVx+/FMpkGohH0kXb9rNeR/mR4MXzpiwtV3YlPvCjCMK+951PmD77mBdXG+7e/yX+r3/w+9y8v+d+u+Nsc4HrD1htqXJL33YE7+hcNoey/6qvX4sNfnKO+/t7TJ5x8+49k/d8//vf58PtA4OTwOjMarKsnj0bRABzxmKxYBwEA22bns1mw3q95t3XPyMzlkVV4ydJoT8cDuwen6iqik9fvZq/ZoyR8jEwP9x713B/f08/dHNVn6qkNByRMG19goMLfSz0Ivv3wUNAsGlrjzRQpRncRKmk8kk/202etumYbEAhvvZ9NxK8pu1GwhSYJo9oqQKHw47gA3VVoU2OznJQgdsPnt3ugDFZFIo5Hh6eePHiBcqK0CXPcy7tgg8372aM1lpLEQNHhKIpfGXnHOeXFxEaEKzwYbdHZ5a6LFmuzmYMuDCKu7toWRsxx7aV5KlxHAluZBoEv62ryEwymqZrZxaLCx6rHFMrlNRJrygq4bBX9RpjPNPUoUxGkS3QWjokowT2UsFBAOfk5zueV7/GiCEbHBkncJwFnSoNTymHpzTE/X7/zBq5aRoyXeJ8mHHVosgiy2rCh6Os/+HhAedCNH+LWodxoogYtJs8I6K/qIrq2QzGxY08/TmJm2Y9RlyjU6Tinv5d4nzgFP+1WpgbyT8HZB4jswX5O6v1kv1+z3a7ZRp9tKqoZ+powq8PhwPD6KjKmiLLCMslPsihfr7ZsFwueYwUTMLIw72nKi3f+84rbKaoaykEdIyrM2oS1lt8z8F7FAoXvBxatoCg2fiByQ2MMeFNm3SvXGRASfc4IQ6rKZXKao2xGq1TpxSZW1qh3PE+brfbeYY0jqNs4HGd5PF56acJvMYa+Zn7QyuirMJSmJzL8zPKrOBpdyCzOU37FZlRtPtGZmRaoyOUmHQ//3+8fi02eG003TCyv3/g8y++oKoq7h7uefXxC4roU5IVBV2zpy5LfvsHP5C22Mc2zMPy6opv3t4wdB3fvHnDX/7Lf5ndbscwDPzw935PDoZDM288u91O3AZv9SwhP2W6vD685f7+ntVKvMi/+vqnXFxczAq16xdShe12O2llL654/bM3rNdrlnlN245iFxoC+0PPcmXpevG2Nsbw+LTHZqKIlHzOBcMw8LR9z9nmkjJfkBnPw90WvOPdzR1VXlDdb8kzIxBRUdA0DWfnK/pupPc9n3zykrPNpeDnt7c87Xacbc5ZrTd89eYtF+dXLBcVTdPQ7PfUVU6u16wWNYuqEiKKD4K1j44PH3YyjLPiF352eUnXdbTDwNXLl5xdXpDZYvYHmvYPnJ+v5s6kiqZYQ9fx5s0bDocDdfRYsaqfqWJJZLNvpGLa7/fzxuRDA+OC0WRM7R6T5eTlkskpnsYHtDKU9ZIp2ivM5mERshGG1nGz67oOf2IEloaei8ViFvakzesQVbmr1WqGTay1M1d8uVxyc3MjG8Hez13Zh9t7NuslmVFcX11wf38vPvqLmq4dsTZjnMD5gd1WOquPP7rCNB1PBKoi42KziMWMKGmNMbhBukPnZUCb3j8wb0JaSzqZCwEzDDgj84w63otxTLYEluA9TbvHKDUzOxYLOVT2+2EW4Xjvub6+njsK5yb+8A//gKenLV3X8Vf+yl/h4vwSm5X8yY9/wkdotk87quWZWP8Gz09//GPqzSV+GhjGHsskTKP3T2xWFYuy57DruLhYs6gXtBG+c3HoWuYZwYuB2tA7pmkktzmbdYafRPeAd4xjx+P9HcvlkuADfXMAk1PlOSglittuzzQeKPOM0p6TWwtEZpIy1KUIuKqi4KY90DQd55eXEljej3xz815sLWqLBwyKgJ/9361R0dp6j9NJZ+H8AAAgAElEQVSai/WSdbXAas3HL6/Js4zJa7QfuH/cit1yKmLyglWZofVfgFXBX8RrGEbafuTs4gprc/pxmGmMGiiyjMn1lFFElKb8VSkT7L5pebp/4PryktevX/PbP/iBsBTcRFlXfPLZZ1xcXHDzzTe8e/eOsevZHQ589bOfEazh9vaWtun5nd/5HS4vKqZp4n/6n/8HpmniafvAixcv6PqGYay5u//Aer2m+7qbq6e72wfxjMlLdk8N+yCB2vv9nvVmxf3jli+qz/lwd4/3nrZtCBgeHvczy+OnP33N5cUVXdfz9vCG1fqculqyXC1ihxDI1zWTh1xrbm9vpVW9uKCMop79VoIgPvnkC4qi4PxszcPjI2++ueHu7o7zy+voi9FTVDXfu7jgzeuvGBGsuyhz3NDhghMXQAuff/op9/f37KYWW+TUiwXDOFLU1axmdF6xWK1EbXx1LkwLY0W41bZUZYE28N3vfSHXOm4k5sTy1jcDboK6EO64i1TH3W7HOtc0XUPwMPY9PmhU9ggYjC0xWU6RKUxRY5QhjAODP1oaGCPByKN3uEl8y3V29KZJh3rbtjO+nqrmi4sLlHoeZLLdbmdcfrvdzhW+HP45fdOiY2DL6AJPj1tCDJN52u6oCktWVOx3B0xmcQ4WyxVdO7LfbslfXkmwRztS5np2uUxCsNMuQ/jTGm1NpHV2WB0htjj8z5HO9O3NO/b7PS9fns+sDT9JZN0YD6s8z8mMUDW/efNW4AkNf/LjrwBJGyrLkn275aMXL/jel1/SdR2LsuJHf/xHfPrJZ0zjcLR4dgMXZ5u4zgduH2UQKR5Fmv3BcffQCq7tH6nKnPbQs16vyDcbitLwtL0HIw5KvRsI44BSJcbmdF1PURV4FSDXZLZEhZo8F0hPD56xGpnQrFcLplEq60yJrbAKga5pUHjqspLAoBCY+gajxfDs4uwMY3ZCi7Y56zOBJFFHaGzuFJNTZJmTWU0f4T03jRhl+fj6irP1iiqzvL974v3tHfvtH5IZTWYUYZzIdM/UTZSLvxia5F/AS/HJJ5/Q9T0fbm/ZbDZcRq8JCXsO8YQ84uOnlLsEMaTWebPZUNb13A6vzza8+EjwtCvv8dPEzc2NMBg81NWCH/7wh4QQ2Gw27Ha72QVwt9tRVsUxLzEaNDlEYn92dkbw0LU9fTcchVBBbHXHSTxbmnbAZtLibfcHCXGwUR1rch4eHshszuTEEK2o6hiJZzAYyjonK0RVlyrUVHmuVis263MW9U5a/UxEEnVZMC2XXF9OfHNzQ9sdpLKNm9lmteRic8ZYlTHcQDPpFKgstLeqXnB1fclah9kv+9TXpK5rtrtmpgTWhZ3ZKFUjHPq263BxM01CGWMM3sbqfhjIigXZJPCAUYpe9ZgQOMsqcnegH0Z8rLCcc/hxYPKB0PXkWUlVFBgrGakhBIw3qKRngBg+Ho7maOpoYJZUsqdUTDhCNrNSNsIfyfrg9Hu99ywqwbAHN1FnOT5EZaT+f7h7lx7NritN79mXc/3ucY/MZKZIitSVJRguV7lgGAba8G/onnjkf+A/4IFHHnlme2wYRg8896jaroJh2UBVqaVSkRIlMkkmMzPu3/3c994erHO+SNpA2241GkJ9gCBCSikiI85Ze+213vd5xX3ZtV7QzXkiMKm2IdWDtFJ2Aq7ztM7LCM9bnJNRQxzLNd73f79hnj68B4ci0xtmhr/HsMBue9HBZrNhNs2JYxkJVkXJ3d0dsbWMRxO8E2wvQR3QAMvlkrPzE9pmkCsKR6Ws9iyXy8MzOO5FDJeXl2gDWR/uXRQFm82GOEoP2I/HdzjQtIGqdhRRB2jKXU2xb5iHiPFsgtIxSsvPBPqRp2nRRCLXVRB0ELQDgA7kaUpQijgW+exqvWdf7Ih1ILERwcpyM4TvxnoSBK8d91nIhHeiIdEY3RvrXMCqQIiN1KXgZSHcp1/1NIjD78cYQ9c44tgwyTMuzk77Za/nyyxlvdujU/A6EEdyywj+H0kHL++TJktzTk9P0VrT9MQ7reiv25b9XmbvAydkUDa8290YIwVwVRZUriObTvCA15o//ff/nN1uR1NV/NVf/RXBaJqyZT5f0DQ1/8u/+F/5y7/8S1lmzsakacp6syLgOTqaU/XLFaUk56auGh7ul5ydneOc4+uvXhHHMe+9eEbdtCKdazuUNpRVTRyEKz0aT/n665csl2t+89nnB23xw/KeyXSOtoHtboUPLYuFjETyOEFHBhNbbBJhY8vx8TGRMSzvV1gbk+ZjIuuYj2UhWxcbrFI8vTjl/OyEb1+/Zb9dM1Zzsixjubrn5HjBydGch5u37Kqak4XM07fbHXd3d+yLV2it+fhPfsJkMmG92rDdbJhPpoxGAk8qi1quuFoTjENFCRjDaLYAG/Pmt79Fa83ZyQnpaHJYWBZd795rW84uLvpUeX+Y3VdFyXq9JsonHCW5dN9dB0FTVDW66wTV2lVsHq7JUH2cYEIUWXToPbfK9pbzSJ4FL8Vi8F28u1sZlDNDsVxV9WFZaa0VDHA/voFH/o+1lqLXhmdpwnw+wxrdW/hFTTUZyw6pqVshKypDkslozjUt+1K6xjzPMVrTdoHIiAxyKNZtN8hJ7UFF473kxob+0LXW0nQtwfmDQ3W73ZKPxxydnNA1rShGvKR5KSxaReS9ma7aFxRFiWvFefm95+/xq1/9fT/+mnD15jXWyCIwSRJevPgen/32t3zyyScEFVg+3NG0gd2u5PziKZN5TJ6k1F3LxfGc5WrNvqhRSnIGGmdpXITSY0yUsd7dsi9Lfvn535GPEv7iP/pTghJmvCNg44jlckPTdJyfXmKMsNNVkP2LUkg3rBUew8yOMcZSty2+rRgC7qc9HqBp6++YyDSWtqnQShRncRKRpyle99RPY/Cto20dXRL3yGUZm5VlSVt3KNOz9/U7zngMrqnQUcTpYoLyHYvpBKMjfvP7L/jy62u0jWhajY0ysnz8B9fWP4oCb/pOOUkSTs9O5KpZiQklEEQN0Qm4CB+w1mCNxXs5deezWT9/C4zzEbvNltOnl0S9PK+qKpabNScnJ6y3W6bjMR/94Afc3t7y5uvXh1lqWZbUTcV0OsVGuo8/01RVwWoFSVIfrrbWxKRJRlVV3N/fHwI4RCpZHzrCAXCklJIXukeybrf7d8xYzUFetzg6oap2GOXpnHQuSnv2xZbROCPNZn04R1+QlKXYFyhVkaVjrIkIrsVqSNM+XUZDFsWcnZ2wXm+5uXrD7GjBs2fPWK/XJFaUQV7TByL4g6OxLKRoKR+IY3uQBE7GY5I0Rflw6Hy11kTxY1izTWJi7zg5OxNVTZYRv5OaMxuP0AEx2OQpaRL1jtYWZTQkEWYxk3DxEGgbAUEB2M5JF87QxUJdlZJE4jtCsPjQETrpSJVSGCvB5FrrQwwdPMoqhxfx3aWm4bEzHow9wEEWN3wGJ+RQ7LWSkBYXAl3jDpZ81SsxtJE/cyjc3uGc70PRLd45OjpIHh287yKCh+97WCYGpw8SzMPf4Z0Q7Ol0emD6jPPRwSxlTcQoH4viqQ/tuL296yWwBdvtlsVicTCnDSiDqqo4P7ugqir+4R/+gR/96Cd88803LOZHnJ+f8/rNDUmS8LCUrAJlItCGtqmIrCFNLI1T1FWLNbF08GXbc+17IF4b2Gwq9tuKOLNEmTDllVIUdcV6tSVJR8xGMbE1BOUJwWF8L8UNls47NNL0xV1HXQ0B44/hKEN617tIEYPwmwiBtu6lsrER0JmJiGzvBm47gtLEShN6hELXOXTTB9HE9rDYNVbTdcK6MQgLRynF5fkp233B6zd3ctuvFHGsyPm3gCr4t/Ex2pCNJozGGW3Tc8OVQivoOoev3XfCuAfnplIyP53P51xfXxNHgQ8//JCXL19yc3d3GNlcPnlCWZZ8+/YNN7c3pGnKhx99xE8++YTd/ZqvvvqKm5sbTk9PcV5eVG3g7v6W6VRcfIMLdrvZ8eWXX5KlIz76/scH+JLC0PTMm6IR118XZHT0/PkzUIY0z4nilM61vLm64uHhgdRI9N/98kFCRvol7MWTJ1T1nvuHGwBWy5K2a1g93BIZxX694uz0mKPZEUlWsHxYc3/3AED+VJDDk1EG2hKlGVXZkGQ5Z2dnjKdT1qsNX3/9NR++eM7bt285nk+YjnN823B1dcVuJ3uOH/34h8RRgrMiG7x5e/VosZ5OKauKRX/Aamu5X94QGynCk8mEOEo4v3wi2N2mxdiY48Wi5330aV1NgZnIIbi5f8Bry2yyOGjL71ZSaHzqmU5mwn9JS9o+7kwphfKBu+32MVQkzsgmU7SNyUdy0LuDHPYxcHwY+Qz+BnhEKwz/PBTJd+MAB7fhMGJar9eMeldjQLPZ7zB4WQRGBtsHeTvnSGP539WtEFD3uwLnO6ajESr4fhEoz3fbtiT9qMM5CfIe0ArDeHKQ+A5Fu3WOcZ6Tpil1WUnH2UPxRqMR1vcaeteSJBnT6Rwd4ObmhqIo+Ptf/hKlFB9++JT5fH54x+7u7qgbke8dHR2x3ewOAL5f/OJvub2955/8x/8JL1++JB/N+PqbbwhYzKXlybNTbm/uuDw/FxPhvsSpBGWsKMZ0xLdvbog0pJFiMpnw8cc/pax2/OIXv+LFB085f3aEU+4wOiuqirc3V9SjhPl0ShIZIqsJWm5Oxka4LhCCJu4jI/PkEaeslCxGh4M3MlIOBx9MFFmapmW1WlGUFZm2KNOBaijLCkcgmeR4lITe+IAyERrN2zdXxEnE4kh8ApnOwDm0Cigf8L4ljaWJCjriZ5/8lCSf8823b3h5dUvrHMvdP5IRjQ9wff/AsZ8zucwJHo5nc7E+9yakcl/TGYv3FtU1RNYzSkEFMTFcXCzYlx0+UiTzKS9/+St+8pOf8GS+wIXA+fEJb2+uieKY9X7H/XaD9573jk758AcfEWUJJor4+0//AR9FZPMZz45Pub69JQuBzW7Hkzzw+9//Xl7qTcFqOiPLsoNteugCRlp00UXxQJ7nPDxccXY2J44UrquwxlAVO7IkQkUx+92Wk9Nz6lqUJ8oH6v0eGzx7V5IkEZlTbK7e4MdjFosF3gW81xR1Q5plHJ+aA2/8flf1owONcg5XbkVWmuVUdcFPPzzj/t7wy99+gzaBo5Mjlssl+0YcmSafoL1nu91ys77n+x98gPIJt7fXLKZz6YAV4B3aBK5vvj0QIU+OT78zwlBK0XYd+WjExm3QcUTpOrw1rFc1RkNddVgF2/UDOtLEcU5IRziv2Ncd3WhKPp7R1jWhc5iuQ5eSmbkpGpq2wmjNUbohsgmu2tO5BDt+QnAxzmscMZ5AkoxQBmYS5iTcfa1I4pi2FswvHrpGxjfOql4bb1F9EEtRVJKX6x11Ix39yXTBttlL0lVwFHVDnqQko5y2rmk7TyhlvJNHGWUjh8put8MaJG0Lh+l3Hc45Og/TUUaaCf9IW40LHS440mxKWdRURUWSpKjQh5fEhtjEhE5R7Ru6rs+kjcR854MC62j6JsYYA7oVV22mMK3n6YsLsd+Hmnwx4ve/+5Lzswvqa8eb63tOT87p7jfsdwXrtdxq31zdsjg64eu3D0zmx3z+zTUnZx/h0VQdXF1tWCzO8UnOfrfEW1mGr1d3QnjtPL517NqW7PgU1IjO71C6w3eBr37/ihcvXrBa34vrdZQTjju0gU7lvHyzxFjF2fkp4ywFApFXKCtdeGRbIougNxhCUqDrWrQS3HfXiTIpigwdc9ousNnVdMSMZ2NGk4kEi+Opmj1123KZJyTWYroe4eHEFX1/f48HJtM5jetQ1mP7MVIdWkZJTLnfk9AxyRV5UHz/2ZhpcsTb5ZW4x/+f4Wb/vz9/FAVeKcXJyQmzHhbWuZZ1ue1nWJa2D5FumgaDvIwDOlQb0MqyLyu++eZbxtMZJ6fn/MVf/AUvX75kv9/zvQ8+YLvdcnx8zPn5OV3vUt3u97T7ClfXdN7jGlHvtG1LFst4ZTISrvR+u2U0mfDDH//4wBK/vr4WNnRPrhxAQrZ/0eMsZbPf8c3rb3lYr/jkk08Yj8cyV057cFPjmM/nLJcr2qrlyZMnuKZF20CSpYxGCc61bLflQVI4xMmlaXr4V57nzOcyPy/7G0SWpeRpirEyq/3tZ79ht9/y9PKS0WjEn3zyMz799FOOjhdcXl7y8PDAeDTh+OiE65sr0nwsbJy6pdluJQQamC7mHB0t2O/3RNocGCBaw2a9PrA1BrriqAe9zfrgjoHqOJuOcb5ju26JkpgPPv6YJMkoy5pvb+5pmhZtE2hlfJFnY4rd5mD4iaKIxckChacuK7pScM9V7XBdRf32Go/m6ftj8lFK7TraYkuUZHRlR+gNRG0j9n4TiXQQbWXZ5j3r3RKHp+lpmxKeDU3XoJ0+6Md1+xgAHkIA9WiicloTwoBurtn2aKbhGU6SBGs0rmv65bmMSmwUgdG4MBAvheQ5mUwoioLg6OWb4SCbHEBrAwNo6PaH0ZEsEoUBH/XkzKIo0EoQ1IORqGka8nHKZ5/+ltPTUzbrLaenp2TpGO9gvd7Igjl0jEYz4njE06cv+OzzLzg62fOwKlgu9xwdnxNpw75oiJMRm7JgPplK3rFyJDbm/uaWoqhIYwmjPzk9Eh68r0mM4vz0lO1uzV/9i7/mL/7Dfw9UYJSPCR52+y3GesajFO8d29Wa3XrDbD6lsaKIMiianu9TF2KmHFLilDKCQjCPWQQ+KFCB6+urXlTRYoym7aQ+dN5zcnIsDupyj9IebcQ8GMcxSmuSbMT19TW/+vWnnJ6eMp3M8UHi+wgOgjognI2WA/jk5IQkzfgzF/Hy66/58ssv/+Da+kdR4OumZr/ZMkpi7CTDG3NAzsaR6ReoMW1RYSMtsjsVMEbMCnXbSqoTlqZz3Ly9QnvP+++/z+effy4smskEHR5DDJz3zKdT4qMTOSgikfW9//77B81zFMc8K0uKouCrr75iEcfMZjNubm7ouo4La3h4eGB+fIS1lvV6LS84BoVhty0OL1XXem5v7rm5vhMHKgajI5TyB0VKZOUKXZkKrdwBwdA0FevNDh8cqNAHaCMzPdfysJSRyGw2I4ojJvPZQT9ttcaH7hAMMVznQYrLYiE5ok8un5KlObd3d4zHYyaTGaPRRCRjXcft7S11JzC06XRySEGajiZkeXKYsZfFo7V7UBwNdu/hpRokhiEE1mthXidpymQ6Z1eUtEFhbYwyCel4gt5VbJYrWtWKS9Y5vOtQyMhChSBLeCcyx9h3tC4InVQpuqqkMxatY1xQdHiwsrxXGPQQ8mIsTRtwOHnxVXgnyQnCYAhTmu47KAH5vMu/H8BebU8zhUcFWNf18YdG4vwEkaGIrEHbmKbroAePuc7jjEMZg+n5MsPcXjMofsLh53kwNfWf/zvcTg5H25vAfN8wZb0BT6SG47FQSVe7B84vL7m9uSOOE9arLa+/fcPTp+9xe39/mNn/7svfsVicUjUdUZzx+u01+fiI3b7ERDtia0miiLuHJaMspYkdm/Wu156L+epoMWM+nWKMpthvetqowxOkgAaRSZb7iiixjEczQhBybGzDYVc3Hou0cAj+mM8t3hhhvBhD3XSkmUabiID4EURrD1XVHMxjxU78EHmvxjuAx7wEpA/jPWP7IBxNP2pS+CBgN9d5Hu6X0piUDUlk0VGE6qP7Iiujt6Zu6XxAaRGTnB5N2azHvI3+8PL8R1Hg8zRj1s9xB8b6pE9kKauKKBHrtlae2MrWumtrCdG1lhCg7El3Sb94EnRvw/mT80PxXe/WXF5ekkzHtH2X07hAVRWcnp+Sj3MIIn88PRKzkEZezGfnZ4fvb3pyTNd1fP7557x/enKYhUYjkYnl6bhfVt1isojziwtmkwX7bXkg7e02Bdv1nniS0gXP2dkZeTbG9qYabQJGIyCsIHr3oVAMWbXwGEs2dNFVVbHe7vrOPkErRRyJHPFHP/qRHAzDQtGnvPjgfR4eHvibX/wdSZLwwx/8mN2+YmZTskxmymluuH34lzjnuLy8kIeylYffe3+IH+u6jknPW3lXWjiZjg+mMBuJaqEoSuq6ZL6YcfnD77Ncr9k1LW0wqNgyO82lGHee43mObx3BdSymC7QBa4VP3zYVdVPiu5b5aErVNGy34jLd7UqUCdxevSZNc45OTjDaYkNEREZiDBgkizaANYrGdWgMcSIQOcPo8LMFiAZZY57ju46ixy7syxKJeTR9p81jwEaSoDTUbU8J1BZtrQSkdI62knHJ6ckxSnGwx6dNAyojIEVEGyvfa39AGmUOxE4bPWbNvuu6Hbwa8Jj25DVoKyHTzjmaSmz1w66p8x4XJMh7ty2YTmf85rPPOT09JY7Tw3uQJAnLhxWr1Yrjsxf86tef03lD6zVlu0OhqW5XpL2c9n655yjLaS56BVNsRdQwHhFwlPsdcWIZj2LiWGODEDgdDpVBksZ88/Ur8jzn+OKUrnNk+Yzz4ynr9Zq26RhnCT6E3nXrqJoWFxpWS0mh0qGj7sDa/WHHMxyKg7luNBpR9TdzpRRxj/bI4kQyhL0kTsVxzGQqebVCrQx0vmfM5xOyfMr65pa31ys229/w/MUZz55cEkcGHxQ2jpgkCdf7a5quZjSeMc5HvLhImWcJs9jyP/yBtfWPosDXbcP1zRWjPOH8dIY1EZ2SgOaqlUQkZXQvFwMfOpquxbuOqO+qIm3FOeoVo1FO07TsyoK7uzt+9rOfcXl5yc9//nPeIgqIxWJB6BUDTdPw9OlTptMpWZpKh60EVjVQ+lQI1E5MIZM+J3ZxfHzQ4HddR9SPT2azhZikdluiNKFsam4f7jk6OiJKe3dlr23e7XbEkYRzKER2NooixuOMgMTDjVTGZr07WJgHe/iw9R8KbVX1pEzn+4dTTGJKy4M8m80ezR1VRbuV6/y7cketNdpaHlYrsromjhMJmJhNAMjGI7q6OWSbtl1Nnub9i+LZFw09MQDlpXL6tiN0TrqwPmQb55nNZlxeXgrPJ5WQkvWuJHgJqw6dZ7/bw65CB/D93xXlUUpci3EWk48SOtdQb0CZiqbxOAdx7B4j7VxLuZXf62QywaBxVmGEtXggVA4MG+HYeAlJOYygNDYWP0bb9lF4GozSB3YMSCcnI0V36AhDCDTuuxLLQwJXbImj4dbj8P3C1AVoOgdGk1oDKLHfWwmVVuq7kX4HLTd8B2kMj0oh+bM9775tD3kHoc/JNb22Xv6/NE+ePOHXf/8p0+mUUT7m4kJcxnUfL7nb7ZhMJrx+c83V9Q1NZ8nyMSaRIO40iWgIxDZgI4vREeWuxvuOqgjU1Z73nj6hcw1dWwKBotzT1CXzNCEYyRyIImirlroQP0WxLyWXwUFXFYLzfUfJNB6PDx6XpusIbPFBYYylqGpCkBuo7R4X7MpYtFJESQrek9ZihoqsaOmd7/CtIzKaMMRWJhxUXqjeea1EEhmnGZPJEVobmrbjYbXh+PgYiDFaYbxG2f73ogElB/A4SzBMeHJ++gfX1j+KAp/GMe89fYrvGuqyhKh3fhnDbDyhahvarmOUxoDHGOkIin2F9wqtDSYSCVdRFMQ2wqF58eI5H374Afv9ntvbG548ueS9997j/v6eX/3d38oo4vyci8szXNuyOFqwXW8Y5ylpHLNdrXn97TeMRgInC3HKPBJuNt7x7MVzjDH8/ve/R2nF7Gghs/mrW9HrpyMWi4WYgTYb7m4fOD8/54svvoCgmU7m/Oj9JwQPN1c3VGXD0dGRKBesjGDOzo8pyh2z2V5AZk1DmsWMx+OePhkRxQbnhLJnrWVfNOx2O5bLJUkUkY/S3r6usJEh9PpvqyDNUuIkwfBDvvz6K7788kve//BDnPMURcnx6RnL5ZLziwum0yl5nrJ2bY/LDaRxzGIxZ71cSkKQFhlr03R0Tq68nYPOtRirBJubRLz3/Pvc3t9zfXtD03qOT8+w2YhpLE7W3b5gt9sxbkVZZW1KlqV0rqGqS9q2ZDafYjVstms2m4bx/JhuteJiMqVrGn77+W/6AYCjqnZUhaQPFZt7bDTh+PgYGydsy4r5Qmb5cZzjQsd6fS8HqZJ9RzIaHebrgwwUHvn4PgSsiR/NRV6RpTHOGVarFU3T8Ozp0z4bVBg/VdfgW89kLA7h/X5HCJ40idD9TXVXVoyNZTRN0Qq8qzEmwiopRtqonoXSHHJ6B23/8H0OhX04DJarpcQ2tq0U61L2O+M8ZyBFlmXJ/f09X3zxNe+99x77Xcmv/+EzTk9PefPmit9/8QVZJsjlal/x5uqWsmqZzM9oO6hdi9aeKBphgqHtIM1ydpuqH02C9w02Snn79i35KCWO1GGMRxpRNYaybtGRFuxCatEh4DrJiCjLktFkwutvv+Xo+JiubujqRtDRTYt30pV7EJlkHENwPfffkOXjg/TToslywaKsNztSA2e9vLeqKmH4eMFR234XJn6OFqVAK80wKou0xsYJcZJzdjZF26i/FZUsNzuaNCaJp31cpqb1j6C+pq1IO01uNe+/9+QPrq1/FAV+WNaMJyOyPMG1zXeSaCJtwCiqVq6Qret6M4fMlHX/w0mSBKNkGaKUPcx7oyhisViwWa1kBNKz4Y0xfPq73zGfizLk7es3TMdjeXB7qiBw0LHvi16u13ftk6kkIz199oztdnsIV/5WvWK/38s4KEl49erVYcE2qyecnh0fmCkC3Rodvtb86Ig8TelcTeizKbMsY9cDj94NxiiKAqXEcTjMfeM4Jk6kO26aGo3QIgH22x1t10j0mNbEVtE0NW3XEEWGZ08u+fQ3v2W7XjM/OmK73bFaraQouRwfHNv+GjssqrIkPlzxb26v6II50Crle2i4u7sjyzKurq7Y7/e8ePFCFlzaYnRgPs8pq4amDdgowXUF282Gqi5RoWM0ykmz3hW5qrBGkaZimKrrEqUtsyx1whkAACAASURBVNmC/SYQpylpbKnf+fm6cgeDnwIZL3lvuX+4Jc3GRIkUT8ELiL5+lEjYTGrl70IQOuZglBrGHSaKMPRF1D92v13X0DYd2iiMjsiyR3/AkLaUZRlk0HZOxiPOSWfX/7mq6RhPZmI+KhtsrJhkqczKe6uk3CAMsY6/sw8YZJXDrFhrfbgBhhCEXd6nng3L+aZte3dn6HXwnvFoyu8+/6KPjoz5+1/9+sAdGo/HFEXB/f09TZO+I1+WIPkozrAmPngkBg6U+A3kOqe1RPNFbUvnPEGDJmA7y6YoCEqRZEkfqGOpuxZazbiXqBoNyWRCno0xuibQ7ze0oQ2Prnej5ZYGPM7P++9rcF4Pe6IoigTlqxSde0zKOuxYAlglXyO2EirivDoY0lSQ38NoNMIT0bSOdl/ilaMqa7xzTEcps7FIuQ6ufC03hVjL7//dRuJf9/NHUeCNMWxXa9qqJNELSZVXgc51dE0jLxWKySinrhuZSSpLlkWgNV3T0HQdeRKh4kBZbOmMRzXhUCCzNOKjjz9k9XDP27dvOTs54ezsjLMnT3n9+jVRfypnWcbr16+5ubpiNBqx2kmk3mQyIc1y0iThzZs37Hc7FvM5r1694vb2VuawPYp3upixODmSTqRreP6+FLTh0AoFPHv2TOiKRtFWDc9fvGC1ksVQ6xzz2QylZZQTXMdiMWc8FhhWmiZMpxMg9IePzG3fvhV2CCruC7AkswceO7okirG9pDNOPEUlh2hNQI8SfvzDj7i/e6AdZzx7cslmt6OtK47PTiTtZ7tlMh0ROhlPpHHMeiVy0Ks3b3lY7/jTP/1Twc72CUknR0e8fv2acZ7z0Ycfyo5Ba1ZfvUaZjMXxJS5I9OJ+u0UTiEJLHBuyWc54NOH29hZrLUfHz2UBuFr1CpEYa2PevHnD29f3nJycEGVjbBLxyc9+RlHuuLl6y26z4eb2muA8NtLU1Zblekk+GXNyek5Tp3RVSZaPpQNsPVoZ2kQ65Kjnv3ddR9XW4trVEjfog8yk0iiDgVvfNDjXMIS0Z1nG/d0SlOxTmkaAX961bNdLmtGIxVS6zHyU96HjmuVqR5JE2P1W7PqzEZogggQzLIgVVj16RAaF0fBxzh3GQSEEIpuQJjlqMhck8jCW6SRj9ebqqge0BYrdnnw84dNPP8Vay9nlhSAP9jtuH+5F2x88vpOFvu7VRwpRGG23W/IkI7EiCxxNJzTe44PDtQ2t7/AmlbGTkjxgo0XKWVfCWk+VQ2lPazRlXaOt5vT4iHKUECcRtKJCiU0s73KScHl5Sdt1eCUFdL8rqPd7iCxxHxHYNhV1f1C7zuO65oDjUImhaftcWQFxMhkJH4sQiGODtRrvFCF4gpcxnerxxk0nY+QkE4hfnGd0XUU2yQltzWq9JbKQxBLVNziQoyiirR4P4j/080dR4EHkXoOF2FqN6+3DQ6eutZZZvBIMbN2UOCVRek3XoYFWy6LsaD7nbi8aeobFbRShgsS1aTjgDiwBS+D89ITFQjTzm82aJ0+ekCQJq9WSr/sxje5zHwco083NDefn53zwwQcAhwDioZMqy/IwA95sNkynksbUuZbpTOBcy82GumuZTmaUpSwu3759yyiPyfKUNI3RWorPu2yUwU0IHOBY73ZwQkQULsxonLFeryVRKLYHjGySaL784nesNhtOTs9YzI8P2bU3V2/Jk5TJaML9/T1df5sYHJlVW9C5lq6sCL4PWgiBy8sLokji55wTGd6rV9+wXktqljG6H0UE5osTQoD7uyVJlrNebTB0Al6yCqMDuqt5WFaUVSHGnUYfFovOOXHuIlr64RYjKiNDPskxsRTK7XiMV+GwOC/3NTZ2ZFnSL3132DjFGiXLsqoiiiK2jYQ5D4vk4Zl0/T/7IMEkg8TOdY7Oydze6kd877szch8CASVdctOQxJnsNNIYjT+4dbUKpHkujlhXinJMOZLIkkUWepmj/OHvRh0e/nM4KJmGn0/XH0DDTXQ2m+G95/PPfsPd3d3Babx8WLHdblkul7y9esPz58958+YNd3d3h+f67du3pGlK6CS8vuuE2RKiTlhB3lErhesyXNuxr0qyTEaGXvVcmbYjah1RogkYOtfRtB3bUsK5Oy3PguRs9L4EKwgBaw1dF+G84H4779H9O6+ANOqBdklN8AqvNFYJ+6ftugMjSfWhdaFzOO/R79yqpcALVVM4TRJYo/uL1FCH5fame0JnyWa3Y2xiEi0hOjaKyLMRIUnA7alK8YEcwtr723mUZKj+lveHftS/iVPiD/28+OhH4b/8b/5Hbm+uuDg94uLshMjqgzEjhN6goZ3kRLaeuulonMImMcoHgm/BNfISaE/bpwJ1fZ7nKMtQAeqy7CVqwj/v3PCLCXTB882rV6LLPzvDJjHffPst+/2e58+f83Cz5M2bN/zkJz/BOcfr16+5uBBVyRdffMHR0REnJyd8/eYb2rble9/7HtZavvrqK0AOF9Heij63qioChvV6Q5bm/PbT33J2dsbl+QXKyJI5iTVRZIh7Od39/T1a68PXBR75I3360GZbUZYlTSMEzsXRjNlsRlvL4RJ6BVFsPPd3D5RNjbEJNk4Ai0fx1//7/4HRlj/78z+nrhpUKjrprmnkgPAyYrB4YhvRVFKETZSxXC4P38/A0h6CjptGxm9t21IwxVrL1fXtQVI5H8X4rsL6mshCnliu93vyTORvt/dLCIosHffBL5bFYsHd7T33awnfGPTccRxT1SVVn8m62+2oalHz6C6w7sdt+30hztc0B4TH7p0spl0i32OaZ/LcJIlENLqeRBnL3D0oRSgesQZ1U2FQ1E15yPMcOsfO9wEi1vSO4DH4DoXHasjS5OAjANnFpKkiTSxH05TIaMZpAiHg2lZCSQiHDhAeKZrvwuEOkl0nzvA8yw5Kn/VyKfuEViSxr169Ynm/FVx2teezzz7j+vqa07MT6t5BXBSC3x6PRyThjChJSUYLUJbx9JQ4SalKGWtkSSqS5lBxcnIi9NLYEvAYFcjyFBsZxpks0dM0Zb3TKA15btA6kI80z58dc/n0DPnRdITg0eT4IGNa1xuO2q4hSyKyXBRkNhIHa+3MYSQysIiGUc3gtQFwPMLxor7wxtaierlmCEHkuVr+O2UsQRketjuKqubqbkVRNRDF0tUrGI+mLKZjrIHcemxo+mdAHyYN3gXa/mzuWsdPn07/NoTwp/+6tfWPooMP3vP06VPSJGKURodlyGD7tjYGDzY2NKHDeEWSGEIr8XdVWcgMP7FYA941B2el7SV7ZVkyzkcHWZ9GFmRGR1hj2Jclk8mE05MTxpMJVc+HkWCRKVEc8+TJE2azmcioqoof/OAH1LVE1z179uwAf1osFo8FPASePHlyYJUModeDCqasWqqq4vLiyeEAGD7vytvqPqBieAiHLn5QS7xLuzw9PaUsS96+fXN4GeM4ZoiDHoqQjQwXl+fyULmAthHboiRgyJP00LVHsWW5XfUzT01b13S1SMjGafwdXf1utzscODc3N7RtyyeffCIpRGl6YK5PJhPurgviKMGYiOvrW9LYsu5K6nKL8SWjxGLnY87PhQSq0BwfH+M6z25bUpYlUZRhjShTqqo6pILZJCZJpJsXBnorM24j6o6mrA4FflhCSvB0iXeBLO0DmbUQI7fbrUCl4JC3Ovy+lRKHq1HRoSiI4qKTG1SfaaCV/OzTWKR1SRwxHo+xRrF62JImMuNvmvbg17BxxGQ8Yjabk6URURSIlDwTXdvSVBWxseyb+mAwG/4ucRwfFGHDnHlQjAy3yuF5e3h4kMzisuL29pbLy0ueXr7gd7/7Ha9fvz6kV3WulZCdfrk8mYwJQfwCUSLJW10/g/Z9AcUHWt1i+gPLOUfnGmzQEDwm7kcbLtB6R2IjjI5wwRGcp6w9hJYAjGfvS05suSKgwAdcz/FBeXEkty0B++j9cA6rY3Gn9IfeMIMfbl7De6G1pDd12kiXrnWv1xdUtUahjRH5dJAQElFPiWZfMg1EJ9+GPidYI9hpHpVSOpas3RD8YawmVFEZy2pl0PYfSWQfIWB8S2hbCq9I8gjlRfbom5rOV8RGc7cWFYN2Hg3MlEX5jrPFmE1ZsNrtUDZmNJ0xCQLvknQiubptV0vR27cNGEMUWaCm6ypG45jO7chSg/cN3omi58npWb9Ag9ZLEVzvthJabRXGKbRyTCfZQVM7tnN5sPOE1jv2VQE6cLwYM04NiVKkVuGt5dZo8viM1f0bvve9M5lDl3e9nCr01z/D8WTKcrnk8viEoigwzpNEMZ3qiG1EGsW0KHTnuL97xXg85cPnz+SgS/L+sBQDT4VHqUCX9IApFWhCoC0rgpK81R//7N/hq5ff8PW318ymC/JoimoUSSp5stY7fF3QKE06mtGGjrtCFB9VVbFarpnNZnLYZTnrfcHbhzU2TpjOFiyLgqOLM7arB8rtDT99/xTX1Lz88nOUDnzw8Yeko5y6rSjLhLYV5yeuJUtiyn3Le++9jw+Gq4cVX7255XtPzsnynNlUWDxBGbyK6FSMdzU6tbhQ0rQFsdUsZqfUdU0SSZFru4Yo7ouTKqVoe49r2x4kpSl8gYkSrI1x2hIbizKWrq5RxvYLXAl+SEZS2Mu+g8Zq4igi1VKAszSjLkvWxf7AlhmQwNbKQTHKNXkueaGu83RKsetRz+jAvnPsmxZtFG3wrPc7uSU4h99uiaPokGPs2lZs+/2B6LzDIIfy6cmZHJSZ5smz99hut/zNz/9Pgc91Hav7FYvpgrqo0b5iNBpT7xtinYojO8Q0XSDG0bUtadxSlDXGpqjI0AUoQyDWx9SFRjlFagImUgTXsSk2JJMxVV1B8Ixiy64omE1zmmZDkhg++PAFz58ekUQe3QVBLjcNrUn6rlrRdC0o0HFEgxLCJNC1XtAdCsnzJRC6Ct27vAkKp2R56kJHhu8lraL2AdDIDsNj0UaDDhRdwKPZbEuKqmG9qWk6T5rGjNKIuQnE1vDkXMxj19fXoBTx5ES+39axLxrGkxFFIbedUSK3MMc/khm86w0jm82G45PzgzvvIO3qWd5JkoDzdEHGBHrYzjsJCE5GI+qm42GzIVKP6TvZaITRmuIdm3xiZVseWcDoPrZPo7VHm0fTyGD1jowBpSnLveCJtcFb/R33YmQMAUfX9Mkw1ohDsZdUqb4jUDLIBg2zWcbDwwMnJycYY/jmm296dMFSur8e+i/p9tUhnHsYdbzLmx40120rt4J8mh+u7CEElJbret/I49qO8B1aomO1XiNxcnmfpJWyOJrhuxYVHEkSs+t115EdwsULXFAkNmK/E3nhdrumcznj8ZjOe+qqFQs+DavViqppiNvAfrchjWWEsVyvhOWfpmgb4T0UZcO+3DLKUwiO9XoFiIStrBu+ePmKomo4Pj5mPp9KV6bAGI3q8QBNVVGUe4JXWKuZzSbETSSB2M4dbmGDzf/dGXboC4TvHA0dsbJENulD0yViLSBiAJtmj52YUnReio4S+AkBLVrsKCFNBLdb1SVZEvdz2N6kZwxRnBJZTZJJJz7cMugzQ0XPLr9HpZTsmHoN/HDzk9/5owWf8AhNe5djP3Swg8RyOGyePHvG27dv8Tc3XD59SlmWXF9fs9uXLI5OiJMMY1OJ5XMOrSxY+fptJ2HeGI/2CJlRiC9yW+xayjoQeQjag4ZUqUM2b910GKtR1hCcKGkunz7FE6jbFm0irJXfUxSlh5uINkrMgc4B/uBNGG5aw+9GK8Uw4ZafrcYjShblZdeh0H24ba9VR6O1OsRpKiXij2G8GBADWdTfJlGBUWrRvYEu72f4+2LHiVvgfUex25HlspNomsc8ieGd/kM/fxQFHqW4v7/nww8/5P5hzaeffsr33/9AXiZjIHgUAYtGRYY0juWK1LpeftjQlAXBGIyNOZrN6YI/LEeGHxo0jMbjw3ikrmv2216/3aM5tTbCwUCRJSlBST3cbzdk4zmjNBPmNKICaIo9xiqs6TtMDJXvQCu0h6aVfFOtDGVdUxUNXWRIJlOUjsj6ojAsaJ88eYLW+jASGFyhV72yYdAJX19fc3R0ROidtwezRn8db5qGr1+9AuD4+JSmaVgsZugeAwyeotxjTQQE6qKkrBvyNCMoQ5JkHC9m/O6Ll7i24cWLF5T7LdpMaDqH9nC/fODpk/fY7guarsOjOVuM+Zu//QXz4yN+9id/QtO2/O7l1zgX+OhHP6bYV3z97SvJtry9lpDkNOJf/vIXnJ2c8MEHsrdY7XdEIaCjnKMkJ0tinO/ompS6KPn1r3/B8dEpx4sJo7rl5PwpKPdIVGxb2qaW7ts3pJGYX4bRRYwswYui4O3bq4PJZGDQoOR5SGPLrnN470Q6SyDUpSi5UKzvbkEL8qELCtNL3JzvDiO64UVtmg7VOkZxRNV0bAshh2ajMZ1rqZsOHxzTcX7QmOeZRhlxwWoCVdmhNew2a6y1nJ8dY4whTuyjgqZn0ChvDgY4ebaluBX73WEPNCxeh8Zn+JkURcFqv6UJjmQ8okNTth1JPmWzv8OrmNniEu+lg1UmOtyYvIJ9VRNFieSohiCKIt8SYgm+bp0Cm2FaLUt5FOwLlLHYNCeKFV1o2Jee0/MjLi6O2JYF0T6QpwmxUVSdR9mEWaIJrkdHWEnIqkPABzEoundkrVqLeZCg6ILHuv4AVOCVIXiPC3LQOPe4sNZaE6ciu90VBXEskX7fXD/QtY7RdE6S5eRTCR7f7/foAFGk6FzD1c0N0zw77MDaVvYeAMdHCyJjabsapcU0OYzZ/tDPH0WBj6Oo71hzZjNxe242G/JRyjTPUPRLI9dv0QcDR+8YVM5TlQWtcyRJRpwkOAVlP6tWSjbei8WC3WbDw3KJgn7RJNb6ppbiie6hYcGTxJbODSzyivbhjuOTI1wjs8MsttSRIY4MsdFESua9dRIfljeZtSQqO/yyfBKIowhvJPy6KorDcrZpGn7+85/TNA1/9md/dpDbKaWYHR0DcHV1xXQ6PWBqrbWH+TtIF3a8WFBXLVUqY6rVWsYlg5a5rWpQnthEPTMjkCYN1kZk+QRtI1abHc+fP5NowK4RTblrUGhOzi6YZAld1+LaFhU8kyylqCq+/fpLfvqjj4jzMXf395go5uzsgu2+4O72Aa/k97Ddbvnh8zOapuGzzz7jw++/L91jKjcHdExRtXgF6JKjeU4Imjw+RSnFxx9/wG5fsq86TBQLh8jL76oqtnRdS9dWdHXD9957RudasqTnjrQtRV0SdEuaRzx77wl11bBe7Sj2JU3TUfdcknK3QjnHOI3RJqbu2l4WF6jqEhDuSFda9v0NapjzKuSWpvqiPyBrq3rIC8iJYjn4hR0u/BqbxujIoqzBe4f3EPr9SllscW3LxfkpWRKzL0uSKKKu5TBJ0xTXPVrphwVh13W4pg8aN/I9N31ubtM0TPq9k41jivt7iqrip3/yU25v77i9u6dzjjQbkRQdZ2dPuLle8f77H3B3e0+eJ8jj56mVMOabLuC1wyoFSpKL8C378r53jSa4oHFOQ2TwQOcURmvBSeiELtoxmmecXZ5wfLqg9iW///oVozzh4uxc3q8sI4SaLJUmzgewPU7ChUDnvIzZwrB/6lV1PehNGYNyon7xARyKLgS6DqztfQu+IzhxIocQuLlfH8axt5u9yFB1hK1qlNG9qUoaCa0CXSNKt66pyJKEUZbgWhmrTccTceDjDq75d1HVf+jn/7XAK6VS4K+BpP/z/1MI4b9QSr0P/HPgCPg74D8NITRKqQT474F/F7gH/mkI4at/9ReRoImXL1/yk59Omc/nfLve4FzUX1cGA4Foktq+aKMMKCWGlDRlFEWAyOjWZUGe5weTUlvVLJdLZpNJb8sXJkyW5ofFpepZCMPi0hiBO0mmZ2C53mO0UP+89+BTFvMpOojSYQA2DUwP01930fLwiItRP3LI+1GKtZY3b96QZRk/+9nP+OUvfyn8dOc4OTk5LMROT097DXXDdrs98GmGrzcajWS52wOuZrMZ2hq6tpfweWGY1E2HVkIMlGWRyFPjWPHm9Wvy8Zi68eSTMVFkAFlM101J1fNlChXwXSejGx2om5LPfv33XMxzLi4uwMZUnWJfdaggD/2mqHh4eDgcTlfNiqZruTw/5/0Pv0/btry9vadtOqIooXV9rJp2ZJnYx+vKE8WWh/slymjOL04p65bdtiSKEvFNeEcax5gkoo4r4iTCtJ7YGrxWeCUqibZtUUYRWYnQ0+YxRGMYYTRVDf3MPAQHTp6LppMxR5xmaB1oyj2Vf0fyFkknl6cj6Q693OQCGmUs4EjyDB2gcw1JEmMjS5xGRNYQkKLnvMDlImtJjMF3LbOTE+pqYMiPKfpxAHBQ3hwWiVGE7zv7wRg4GY0PN78QAovFgjiW2MihuIxGI1bbDUEpMb3tKjGKGU2a5zw87EAZOieBmr5fNirt8RYhdWqR1RqlMSYQx5rWBZJYEyeGJI1BGYyVDj5JBNl9ALW1iixPca6jrEuM9dRdS7tzjMby3lStIx898nc61483bNyPpPra0c9jqq6R0WSf8aoIFFVFQNP6gScTeh58dFAhDTXCGMP9w7pPccqYzkQY4QkUldykfefIR5mMmDSgtbybWXRAizdVhQocbpxGKXQUSVBJfyj/m5BJ/n/p4Gvgn4QQdkqpCPjflFL/M/CfA/91COGfK6X+O+A/A/7b/t+XIYTvK6X+GfBfAf/0X/UFtNI8f/6cv/3bv+P9Dz4iG4/Y7/cEHPPx6BD0kcWS7l7UVT8SkDnVvh9RmKYh0hEqBJ4/f8Z2vca1de9kCzR1xWbdHZQ0eZpyv1zSNA0nJyfEaUZdFkxymXs3TYOrarwG5RzPLs8py5Kn52fiCuwasiRju14SRVGvYjCMxoLwXS2X4BvqqukNTL6/QjqyUU5Zi557PB5LjmU/Tjo7Ozuw3YdDQfuON2/eHGbGA1hsOMAGF2vbtkxHY9IkpwuaoKDqPKPxmOXtNVVRokNHbDV5khJp+b6nownKGglcURBFgTS2jPL4AFNLkoTSe0BT1Q5jDU1bMM4zVg/3/PgH3+fyZEGSjdgXFa2z2Dih3IsxKIkMs5GYzrZbz+tvXpLnOe/95D3uVw8YG6OU4eh4xuu3V3z6D7/h4uKCtlqJ2er4mIuzI7quY3E0x/eQuaYfd1SVdIcn86m8XCqgw5g40qhEWCV1V7MvdkwWCyaTGcvlkmJfEvUdl53HjFp3UOVcPr1ku90e5HPeifKK0JJEEbiWtuywZJRFTW3kxU+yEZPxlLraQR+vF1Co4IgmORGS16t6HXTnAtYG2lY678Z1PNyuOB5HvXwOQDGdz0WHbaU7LBth5DetqJpeffMtIQQ++N73CEGygsfjMcZqqFtc53BBDncbSzEt64qXX3/Fxx9/TNM0nCcXlGXJw9cvqcqa4+Njlss1qwdJd1otN0xnE759/YrjoxN5iZuWyKYkaSSGH61omqq/Te44O5vx6qvf8+23n7NeboXwluRkszl/8R/8E+I0w/e4hXGacH/7lpPzlDyzuNDw+vUrjk7mTBdHMqb0iqpy7PcbfO4Oz3+W5RK/E8AYC0hQje1v1203jOAeHcn7omK7KyhqT9P1mQA8au5lpCkjPeccVePxVYWNc1ywRGnEdDzqFXtiHHu4u8GEKen/xd2b9dqWned5zxhj9nOufvdnn336OnWKxSpSJMu2KNsyZTtybCAKEANBbnLn35GL/ITkxoAvjNwEQQBBaZwAkiPLlGiSIs2u6rBO1emb3e/VzzX7MXIx5lqnKDPu6AiCFnBwut2uveY3v/F97/u8nQ5J66h2GuvkXaUpdVVyeP3A4kZcF+VIG6OIQ9ZKub/oa/mPffw7C7yxw+tl+1e3/WWAbwH/Tfvv/xT477AF/r9o/wzwvwL/gxBCmH+L4L7RDZeXl3S7XSunS1Pu379PlqetnMlmtCpqqnYha4QgSjpIxyGs7cy1bu+wq9WK1XJpAyKMQbWM5m7SYbVcgrFJ6k4rlQI7llnP6uu6pt/tooOAaVu855MphbNifHmJ7nZB2PDezx9ZfXBVlty7d5fd3V2MEbhuSFPZAA27tVd2s1/XlNoyMlZ5TqDkpvvOc+uc29nZ2USjraVbndjCvrS2GuGqsqyetTt2bUsXQnBy8po0K1BeiBP4GKFI05ReJ6ETRkhTY5qKdJ7iKaeVlUlEa4gB8PwQz3MZ9i3lc5nacPDFPCUIPTpxhOf61DLFcxwuzs7oxCFvypyjWwmO5xMQ0CBICyuXq4oCz5VEkUe+Mnz9a9+w5hHpcHlyag1ryoWljUy7c+sGTWOI/B5u4Lf5mTVFkRMEoV2cVzlFOz9uyoLAdQgCr7W2267ctKOuql3E2Vm8t/EN2Bmrw3A4IFuVm24tigLy5aJFBmeb5aTt2KCRFulc1xWNdigLSz80jcLUDov5GKRDEMY2hg+DkjbaDcDoGmEEjWNwaOPfpCBrs12XacqwYzOApaOQbUOz1rErJairisoYmtJsZIlCCNuVtvLF2Wy2Gd84rezTGuHczXJvd3fXjol838oh65q6ajaNi9X8K6pC4/kOq9QglWKRztjd2bMLZVrmjZIo4dDtdegmIXUo+dPvfZvp1TlNlUJRtYwFl6ooOb84ZWd7j2W6oNvtkqUL5tMxuwf7xHEAorHmx7rG91r+TVbguT5S1eR1xjxb4rou28o2JF6L4VYIPGWva6fdQawLvLVGQeCHVDWsqhWe71JUhrKuaZoazwjc0H5fbhhDVVGvcvKyJKwatLCSybKs8OOI0WCEaSqml2fUZYEwMUrYsU8URZycHrNarYhDCwh0pO3y1Vr5IN4in79oVvuPffx7zeCFEAr4IXAX+B+BJ8DUGLMeEr0GrrV/vga8AjDG1EKIGTACLv+/Pr4UVt/c6XR59OgRo8mYscetUQAAIABJREFU9+6/y2QyIXcdRsMuSlq+xVopYFUKmjJNadolie/79Ht94jBksrpCohFS4MgGV7VmiUFCp9NhPp/jKoEgRkmXVWqXS65SeI4iVVaa1uvEGK3xt4fUteH6/h4nJydcjS+Io4ifP3zIt37zb9LpdPjXP/g++XJOJiSu6xEHIfOrlFcv33BwcMD+9SNr2W5qXrx6wc7OjjVPCGvTv7i44Mtf/jKu6/Ls2TOuXbu2Oa6tO2jP8zY6cmPM5hi5Jvw5jkMnjnEcj/PZAp1n+HGHw8NDJhdnrJZLhnEIumbQ77cqmAI/DJjP5/z84cdIKXnn/gOC0KOpCx4/fswtFXLzxm2MEBRlQ6ej8IOAbCl4/NkjppML3nvnGyivS9HAcpmyzJZIz+fi6grT1Nw62iNbTEkn53QDRRjEeGHAm/MLjJI40iWKu8ynUzqdmDs3b3B6fEymK7q9ASjBMi/xHZ/KCHSpWSyt7tgNY969ebC5OMCO/VZpSRzHxHFMMNraqEiyvELXFWXeoBsIImtIWc/Q/cD+Pr6yxfH8/Jx8tUK69gRmHZ+GIHQpyhVZvqQTDVGOQTYZTdGQlZokSci1XZr5YYxyQlbtaES0jHLhBAjH4LaFKC9rhDR0+wOMEazycuNbUNInSjqEgWsLR1WgdUgQeBuujJQSYSwPfz169JTDfD630YJRsInvW7OM1iEh8/mcOI4t6C204Lfz8pw4CFEIzs8v6PcSri7OEcJhMl5S5HOu7d/CdSOKVjEz2trCcyWdxOVPvv0nXJ09x5U1UmucKKQ2YBwX2WjqzDp6D/f3GG11efr5Y4bdkDvXD7hx6wZXkwuiZJ9Xx294/fo1jnLpdIesVrUNLReKCo+sKCnO7Gtnq2uv26DdkQndPt+OpKlqhJQ0gGxVbn0vYp43aKOIE48AYfMdak2alZuwHcdz6A8dTk9PGU8XCC8h8B1mlyeMHUH3wR3iKCByHZazKZ5SCGNHfMeXJ5bMGsXs7G5R5rk1eIm2WxfWPLX2Uqxr3a/y+Pcq8MaYBviKEKIP/C7w4Je9Wfv7L/uq/o3uXQjxj4B/BLC9u0+32yUIQn7+6edcXl7yIniBoSHasmCuwHNZpSsb4mBsMorjOJS/wNhwMY2FRSVRBF/YngttbKACbN7GdV08aZORwtaMslxMKfOGOAxojCCOg41JKQyDdh4+YZWm3Ll5A//XvmqlgGXOdDql2+0yHHR5/Pgxu1u7DPsDBoMudV2QZylhZNno/X4HhDVROY6zIUVOp9NN0V4nvkgpCfrdNjpObWRsZ2dnlloZhpt5quM4bA8GlI1h1RibOFUUPHn6FF9CJ44ZjUbURcblxfgXVAJ1XfPgnftUuqHb6yCFXUQHQWCJiPslSjmbgArd2K4wTVN7U52O6Q5jZosl87SgaCR+ZMFwGkOWLpiMz3GoSPwO4+kMtUxZLpdIz8XxPF68eIFpGvbv7zAZX9LtxAw6HfJVipQOnU7Y5pT6LNOM+TKlKGu6gz6+r9qfVY0UtuMUwm9VIRkaGy5itLC7Fw2Yt9LCPM/p9Xq2A/TdzedZF868fR7qpiQM3y627cmioK6K1p1pkGhi36UqMpQncF1rtGnq0o78WpWEVHJjvQdDVVs8reu2o5l61V4vDo5yke3Pvqk1Rry9mYVhvAlvF8KirpWyqhAh7ex7PJ6yXC7p9bsEUYRqDU/KdVGuy+X47euhrGu6nQ6e53EpBHEU2SbLc8EYgsBpXzeG5XJGWeTEUUKSDJHSI44Dkk7MJz/9Hhcnx3gO1GVB1+/gBTGlNsigg3Q9PNdFmIbQd1nOZ0DFYLBNv9fFcxVxGJIkIaHvcno2RwhFpzOiaQzz2YIo8UA7VE1J0Y49t/pdRGssU0IgHeDPhFjbpazehIW4jkdWVDSA6wYEQURVVRRFhTElWWbHvRavbWmuq6KwtcRx0NpOEZzYZgWYpmmxCHpTo9YmQLTdJW1ktW1Og24lkm9lsb/a4z9IRWOMmQoh/gXwV4G+EMJpu/hD4Lh9s9fAdeC1EMIBesD4l3ysfwz8Y4C7979kLi8vWa0ybt26xcn5GQcHBwShx/j8jOPjY27fOLKM56Yhq6x6BGH1pbW2qgE/TlpMbwC6QAlncwE47QXsej51nQM1jnSZjWd2oaIsVW53d5cyt1x2sEHJkR/wyc9+ytn5mNt3btqRSWRRwEEQ4DkSLX3+/t/7ewShz4uzU3a2RvzaV95nMV9yfX+f49NTfvD977K7f43bD97DOJJuv4djLK40iiIb19d2Ujdu3Nh0m7u7uzRNs6FH+r6/6eyFEBsU6lrzPh6PcYPIgrfSlOOzC7rdLr5jZ3pFUeAIG4WWl+VGIrc+inuh7fAWiwVHR9fxfY/v/PDn7O2ObeReXRNEEWVT89lnn3N6dsyv/5WvcfP6NVZNB+VXdEeSZa6tIzid0xsMmE+OAc2X33uH5XLOeKFY5SXKtYEJvhdy/917REHA9PyC6fgKBUyOT9nZHhEFsFjaJdXl1Sl5UeEHEYOtLkYqPFUTuC6lY4MwmqoGYamWRVGyTHO0AKedzfp+sGHpJ3GHJElwPcXV1RXz+bxl9XeZzudWfhrHRLF9nxcvXrCYTcnznKQTIyQsJmP63QQwlnjqSuIo5Go63wDAHOGSFRrVFna3XSoqpVguJpYuGofIFlLmBy6+6xKG9vWYLjOW8znCaMLAYzjso4SgrMsNV6ZpGpYzG21Y1TW+65KmKVprDg8P37JgWr244zhMJhMLOosie8OVdjG+frs4Cambku2dEa9eveL6jQObbKYLHCdgcnXB5cUVYW+C50doLVimc67OXxD4Clf6jA66eFWE9EKysoKgh/J8drZGdHp96qrgxctnvPfgXXZ3d9nb3WaRLhmNBpRlyc2bNxHS482bE87OLtjd2WM8GTNJBVrXoGtCZS3++zvbNFhKbS0FvtveyBGYtqjW7RhmjReOOglZNWNyMSaINFEU43oWSbJarTbUTalcen27C/LzGs932du6Rp7OefPqFbOrS4Rp6He67GxtkZclL169JnYNh4eHeL49BSad2GbEyl9M3nor6fxzmMELIbaBqi3uIfC3sYvTPwT+K6yS5r8Ffq99l/+t/fu/av////m3zd+BNlrLPnnT6YxOHDKdTjmIDpitLJp0XrnUetYeXQzUJcM4YTAYcjkeI6SNWCuwOZ5e4djQCSEABdqOgorSGiUcJyQtrcwqDENevHzJfJUipGF3dwftOuSrFUngU9Qly/mcwFdsj4boQZ/Z7O0mfdLqWXu9HqcXE/719/61nYl//a/R73msVivLA9/fY3t7SE8ZlvMJgyTkx8+fkUQRgR9R5QW9xAZpXBYT3MDncnzCdJlztLtNHEd045AkDsFUdGIXXa8wOiGMA05OL+j3+0TdxDpYZU3cj7g2uEkURZydnWGM4eT0dVvUAqRwqLUmjLoYIRjs7tLUhuPzMQLFeDFnuWzwuhGl29Dvx6zOZrCaMIwjbnd6fPCb/xlhknC+qsnnBZkjqFWNShRuqUkWcxaPn4DWZEbzZiXIRQfchrKp2T844vmzl6xWc5rKqmqePT/jnft37Qjr5AnNakGpNdFw20reVENZTkliwSiUOKLhfDxlOBxyfnXJcDjkYDggTTOME7KsZuQyYJlmeKHHyLG5tZWpQUhKYWgaSdV4zCuHRRMQb43IFhXhwGc+vmA5T+lF1mzXiyM8KViuVpRFRRgnOEJR1TnK9al1QV0ZagFB4JGXNbPFjChJKOuG0AmJYgelBMv5nKZpiPyQKErwXA9ZS5rK4HYUQRwglcSRkulqzjJd0Isj8kpbnHPo0+3Ywj6fWfyCdBRKSBpdUVY5rqdw3AThgO8FCCFsVFxdYzSs0sx+jFpTlTVZljPqj5hOp2DsbD5JEiSG69cOME3Niyef4wqBQqM6OctFRuT4hI5GSI96seT6wRaL5RQnGKH6CavVPlm+wg0VStrc4V4vZHevy3z8Ak+uuHdnm3v37tDoOVuDgNqkSNOgS83+METpLtkqp+OvCLYVs5VhvlgRByG+5+C7ymYROBIhHXAVbmBlyY6wy2ijDWVlkQACTRJYs1TsVOjVOcb3qUtbbLsdH+qMJJSUeUknNJTZmCgI8Hu+3RtkKa7nofyYSbrixrV9Qs/n/PgEKSX7/S79fheBoEitc7WpQAhFVb8dHwmpMNJysXT15yCTBPaBf9rO4SXwvxhj/g8hxEPgfxZC/PfAj4B/0r79PwH+JyHEY2zn/l//uz5B05pIhsMhnU4XrTXnF2OOj4/51t/+O7x69YrXr1+zzCYMh0MOd/dssWiXqEEQWEJeXaEBYX75E6Mcq3dfc1yKoqCo7XZ8d3eXoswR0ljVhKNwpCRNU8LAZzab8Vt/5+9sllK3b9/mj/7ojxgOh8RxzOeff879+/fZ3t6m3+//Auvj5cuXvHjxgm9+85t8/PHHfPLJJ3z1q19lMpmw1+rfh/0+O1tbnJ9dcHZ2xnQ25vjhKddv3iCKopZf42yclusj/PPnz+n1h3hYIqeV6Nl55CovNq5H5XpEif3/oqop2zk+xjqBDZYRkq8yirJmazhklZWIquTa4TucTa94/fwFB3/tI7pxsiFYFlVFDNTC6qvzPKd0BP3dIccXr/GEQdQ183TJtb19hnHLwI8iyiKzIRNNRZpO0aUFmJ2evOHi/JhVOqObJHzwwbtUjUY5PhrJKltRZBnbowGjQRdBQ7GygeDL5ZLhcGhPYmWJlA6vTy5JF0sm0xSkh+NVuK6PkA6NhmxlHcJNrem4klGvy+7OFk3T8Gx+ilKKDz74gLoqePb5JyzTBVvbI5qm4fTsgmyVo6qSbpxweXmJqRocz8fohtVyQX84Io4CK1NsCpLILsyvLs4Ba0zzHR8/8DZKqjUMq6wbzKqg1+lQlCVSuQyHW5TZijqrcR2DajTj8bSVRtKyzwXaaDw3wI/VxnC1ZhLluZWsGmPj7YbD4WYZ67oucRxzfmnBdofXr9vvy0jW/PYsXfKVX/saZ2dnzCYT6loShSFvXl8SBjmj0T7D4R55mVP5Bqk0RvtASa8XEkUBg37CaGvI0dEeyhF89Stf5+7dO/iBy+npa5JuQNGGekRBYGMEjSByPdzEaTNcFXFhaMoMz1UMBx2cVk4qhdVC6kZjGitNhbfSRAo2EaGrlZVVrzMMFufn+IFV5jSldav3Oh22b99G1yUfv/6YMAy5fusOpq6IfdfmFUd2FJcv58xnE6vOchx6vR60+APP86y5UogN9RLYTBvWwo8/lyWrMeanwFd/yb8/BT76Jf+eA//wP+SLWL+orfbcvrh3leLN6xNm8yk7OztIKZnMLyny0mZbCokjrDFinbQj0dRNzWo5p+v5bz+B0GDkBjbkQzt/bDDSKlo830bTDUd9ViuYTycEnsdWv2v15FLye7/3e9y9e5dbt25hjOHGjRvEccze3t5G3z4ej3n8+DGDwYDvfOc7FEXBu+++y9HREaPRiA8//JBvf/vbPHr0iFu3boEy1jGra3QjOL84QwrF7Zs3qcuSg909ABaLBZ7nEnoOvudssl09z6PT6VDU1mZvjS4NjrIGJozEcVxOjs9wHMue7nUHbI12KLOFtecbQxgnBF7AKispqpKTkxOSbpfIDzh+9ZpAOVxcXLA+NOZ5Dkqys7/HzuE+jaNYmYZuGPLxk0ecnZ62VECfsN9nFCfcunWLSsDzq3GLB0g3hSxbLqyCqbCuy0G/y87ODqPRyMYHxgk0luuTrXLQdRt4DBJJnERIx3oNfvSjH/Hm5Sv2D6+Rphmn51fkpcYYRRz6RHGMweIe1nJTKSVeGLBcWHlqr9cDIzYEzKurK4p8RRzHbI+GLBcz6zRtJXDzdEkQJyjX3viydEleVuzs7FNkKwaDAas0xTE+ftLf+BcAhB9YNlBdg5Qot8GRLl4QkK4meH5rSKsqQj+krAqMkEjH6r21kVR5trG3KyUIfB8cieu4CCXQbTyfMcbGH2rNeDze7ALKlrq6NmkVRYGSLlKtc4Hta221WpHEXcIwtLuXNmxmepkjHQchKhwnQggXKXyUA77fAVkjkWxv9Wl0TRC4bG312d4eEEYed27f5OsffYjAGsj293e4Gl9s3MBhGFI1BmWH6ZjGejDiMMSLA5piByEhDGzegZIGt41dNI0GYwvpWi//FjL3i7VoveMSns/WYGiplvMpujVIrQPsu70OZVmStY1FJ46gqamKDDcIyPIVVVEwHPTxHAfHkeStXHoNOftCzWx/b/9s3n6Nv+rjL4STFSCMgk1G6Ww+5+TklN39fX72459w7do1dvb3iLof2LmZFnbjLEBKQZyENE1NVRd42iGMA0zZskTAsp6Fpm51x7rSNO0Lp9u1Vu8szzcX3XquLYzh4uKCyfiK3d1d/u5v/zbf//73efHiBa9fv+bo6AgpJT/84Q959uwZSikODw/Z3d3lzp07Le3Q5fbt20ynU549e8bDhw9tV3R4yKNHj7h59wGDbUtLlI7D1mhkTxSjLU7C16xmE7qdfrv8U5i63Jgwtre36Xa75HnOaGebRk/IcwuC0giuTs8oS6siqeuabrdLY7CFxnGYXZ4SJQndTs9qfY0tlGmasrezTZIkTGYzRsMel6en9P2QXhTj7yqqxZIb169z/Ow5aVmQZTXTPKNaSPZ2tjm/Orfz6NoW0u3+gNcnJ7hRiBQCU5X04qQ1A/nED97BcSVZumoXpQ3b29tWXkmHOOqwKnLrLQC+9P570GiKfImhQTc1q9RS/N65c5ef/vSnPH36lK999A2u7e1T1g2r0tBoQVUWPH75kk7XpncJJEWZE3ouxkhcGkLX5v+uDU5SQRQFNEWzySFVStHNc7uvkZJVWrC1tYUQgsvLS6RaMZ2ccnR0hK4W7O90LR5jegWAbqwhaCWgyF38wGPQHxFEMUVRMF/NSUKPWgsuruYYXTMa9tFa0u1aPbjAnmTXeIKqNc6FQYCSDkYKqrKhrjVKWhPeKrUnlq2dvc01FyeJxSBXFVVVUJYVSoU4rmcXts4C4WhqbbWn+Srj6OgWvd6QLMt42pwym83pdAYknQFCegjXp9/t0GNIVq6IEh9JwbX9Aw4PD/n13/irbG0P2d/fpqxy6irD8RSxq6iLBtHvUZYh09mCbLHEj0J8LyRyHYo0ZTGZkAQBZVWwt2WTr3RTIYQNrHeVQ1MXNLrCtJhgz/NYpfkG7aHbNA/XtTsPIwSDwYBM+2zvbNFUFXG8g9nb5vLsnHQxZ2d72zrby5LQtUIEGs1icslsOkZHMd04giSgG8eWP5O+bWbWJ4gvMoMAdAvOUa1v4j/F4y9MgZcGjLLdhNMupJqq2oRklFnO8XiMIyVbwwFSKjQNwlEUWYrrOkRBYPnf6RLfteYEm2hkH42ucJRntababByVa5mi4yqiJqDTSciwTs3da9dYpcvN0vWjjz6y9v/plJ/85Cc2GKF1AH744YfEccyNGzc4PT3l8vKSw8NDezIYDlmtVty/fx/Hcbh16xa+7/P6+KJ1XVqNsisVK2MDfOM4ZnJ1ZbX7nku322HYs4WlMYYXL14QRRGv3zziq1//2gZEJlrz0v7BIdPp1KYpJQnpKqdu7IvN931u3LrVIpOdtkO1KT4IQxwF5MWK5XxuZaXTGa5S5KuVnfXO53z884eMkg5+GNrnKAoJpIfrKivFU4rLywtePPqUd9+5x7Vrh2gpSS8uCcI25xaN6whKZRAYtreG9mtyvI0sFD8hTVPKumG0NcT3fdL5AqMrAs+1FERHbdg9YWgDNIQQ7Iy2KGrNfLEiKzLS5ZKstAlNUrkWV4wNPS6KjMB3MU1Nvlq2VviETidmcnlGupixPUjsDqRVL21vb5NnRbuItctqG0bhoERIVZeUeWYNa7qhKXI7z8Je0E1tAI1QrkUMa02W252NcqwTtWkatLEI47Jq8HzXsl+koKksnMwRAikUjbSzekMLy6s1dXvCBWVZKC24r9vtbqS1a2ke7fu5rkvVQK0NSthYOiEkcdJ7W6AclyiKiaKYyTBjsUpp0FRNjuN7dHoRfhjS6BqzahiMRphywte+8VVu3b7BrVvXUY7g6vIM5djEJCGgqu3prN/pslwuGdwcYDS8evMG6VkAX1XWKKkQBhxhEFhele8qDJqqzHGEAd1YiaS0ILI1BryqKjT2+QnjeGN6Uq5rn49KEAUBszLDFy5CCvr9Lqs0ZeoqO3bpdKjzjErQZhNA6PkoxzadwKa+rAURa7jb2mFrTxLrzv1tPfyi3PdXefyFKPBVVfL69WuSJLE/vChiazhguLVFmlqEgVQQBV2Oj4/pJR1Or044ur5vqYQt1rPRFa5URJ6LMVZhI6WiaccQnuuijSZwPaRvgV6fPPyc7e1tOp0OjbZ39dVqhW4aojDk4uKCzx59yjf/yl/h7OKC69ev86d/+qe4rsuDBw949OgRvV6P999/34Zlt+9/eHjIkydP+PGPf7wBgI3HYx48eEBVVXznO9/hS1/6EvnyOU1Vs7PXp6xrJosFoJlejbl98wY/OD0h6XSZNxXz+Zyd0YAsyzjc36ff6zCdTgnH040Ey2tBbEoIOnFswz2uXbMgqTRFGBuUjTEtLU9s5vlSSowWjLa3OT4+od/vM59NWSwm7PYHfP7yBY9+/invvveANMvoJzFnV1e43QiURGJI+h3GF+dEjsMnP/whUsLO/i5BJ0GFAfkyoxt37EJ9MqcsVty/e4teFFCXdlSywubzFtXaeNUwHk9RUrI1GGJ0hSMFjnKYTq7a2bLLYLRll+FxzAfvv8/J6Ru+96/+FV/68CtcO9gFMcb3PKR0wA+YjSdIx2G+mNFLOkRRQLaaE/mBDSoHnv/smF6/S9KJuHP7iNnlGVIKdne3baCz1gShz9bWFnGnS75atQXUoxPHdLoJuq55/Pgxx2/GFih3+B5FUUJZ2gtQguMKzs/ecHl1jgZ29va4fnjDjh8Bx2sRB8KSDLOiRFYt/VBKlGpZ57Voi4MNyRFGM50vaHRN6Fmq6XBrG6UUz58/3+AwpNNiQZSDF9gRgieDzeh0fQrs9XpcXl7y4YcfWobQnTs8ffqUvaMRKoDPP3uMUCVuVFGaKUnkEHkO7374Afffvcfdo21GoxFKCqomw0hJ0vWpmwqktvSRFhMia+h2Y4qiRjcNW8Mhz58/p6xrDg+PrOpLQhxbmbDWGu1KlBCWrd+aAu3DtIogi20IggCNoSyqdhxiWtmq1btPFwvKIqUqcuLAR+uaOPRRUpPOpuxub+H5Lk2+wtQlO6PBRnSx3tNVbV6D7/vUGDysgk0pRZxYCeYvU8qsC/ufu0zy/6+Hoxz6gy5BEOA6HlHTUJYBp8fHlkdiDM+ePOH2O+/xt/7mX+eP/uW/YNQuhfb392iKDCTIFjAhhaLWdtYo25vgOux3vZAVKJIk4f33328Doy9otM36zPOMyPdA2/zM0cgu1K5fv86Pf/xjwjBkf3+ff/bP/tmmQ18T+dYvKs/zNqjf/f19Hj16xHQ65ejoiH6/z40bN7i6uuLwYJ/Da/vkVcV8YePhTs/PWCVWk33v3j0b8Fvb9HbXdSmaijRNefL4c4bDIZeXl7hPn/Lug/eZTqcoaeeE65i5pmkYjUZcXFxs4tvWVnywc8cossz4Iq/4/ne/y+OnTxmNRnzta1+zy6B5zfZohHQUjuexd3BA7HuspjPOzs7I65qdG9cp6pLLqwtCKdjqd9ne3mJrfw/HdbmazZlcTeglXXRZ4QXhBm0c9kJ8z86zExVuZIXawOOXr5mOL2l0zdHhHsN+D5qKwA8YjYZWFjif8+LFC8o852BvlydPnvDpw4+5fv06k6srlHQY9K2u2wjJ5WJFmqZ22Z6X5H6JLASuZxd7q7ykLsoN6dNTZiOJVOsTn+PQ7SVI0cZKCmuAybKM6bSgzHMWiwWuZ5HVt2/fZrFY8PTpG8t46fdxPJeq1jaRTHqMBn2U61oPR1NunKlvIWZvr5tNl2cMRVUjhH2dC2ETpgCLJ14nE7VJUevl3jpkeu2A3kiKWzCeMfaEm6VLCwP0fZSSm/CPw8NDQt9n2O/j+oIw8qiaHN0YhLRejus39xgMBty7d4+9a3t0fWmjHhuD69rztfk3OtcvzKUBIQ1CC5Qj2d/fxwjBbLZg1kL0hKtxPUXTYFlEmwKuqXSziehbY3/Xs+2mDdvwgsBigIVFDdsRXIznuoRtiHtZ2tyEyA+IAt/+fOqabGmJoG5i+T7F2j2vPDASjaVtWiG++YXv84t//mKX/3Ym/5ekg2+amnS5pCpLgtAmsTuu4s6dOxwfH1PXFbu7e5yfn/Lwpzn7O1s4riLudGgwNlgXG3KghENVGxD2qQWFI+2sk9ps9ON5kdtRRxtIHEURypEUpeVAbG1t4SrFajm3WaBFQa1t8tSrV6/4wz/8Q775zW/y7rvv8r3vfY+f/vSn/NZv/RbAJkVnMplgjOEP/uAPeOedd7h16xZCCKuSmU558uQJf+PX/6ZdJPkeQSfBwfBr3/garnQo84KTkxNOXr/hK3/9N2iamuVyiUBbJ25rNe/3+5sFWhzHXJ2dEQcuSejhSkPkOwSeYndrsHHBSimptC2u08V8s9S5ffOIfLUk8Gw3IpqK8XjMcDjkdDLm5OyMnYMDAsfh9OKcYRhz7+Z1Ti8vePTxJwTdAYM44GBrm6fzMVW6wg88JsuU6XLBbJVy+/CIdJby+PQKYyrmixSlC5I4REiD5/mkVYXnBUxnS87HE5QRDPpDAs+jrnJG3YS6KfEkZEVpj8UqwpUOf/D7/xzXsXyjYb9P5HtMLs65efc+6XyB54eWf280qq5JOn3iuMMynVsDVaEJESgn4t47e/YEaSom0yv2t+wJQkiI4tBiboFgZW/qvaxLEPi4rsNkPiPPCqIgBuVRSxfhR9y5f5uq5GCaAAAgAElEQVT5fM7VeAwr8MMYT3lIU/PZpx9z4+gmN27dYjG+oDfax2DzXV0lidoMWQlgwDQVpgEttSWLtmwiZcOO0E2N12KB4yjapFutXwdR9DYzYF2c1gU/W2T0k4TIc/CkQBs72vjye+8QBIFdWkrDhx9+iVU+5/79O/z6r38d1/FRnkscJbbJENZzkOc5s4VdzBZFwdX4kn43YTga4EhFjQAt0EZiGoGgRQo4DkIZhHGptY1TDOKAbrfLdDplMinZ3t62Ho0WtVGvmfLSBU+hGwsqC6MA3dACBW09yPMcpexYs2o9IaLSVEVG4CskxuKq65JGwMnJG4p2v7bVtQhu3/ft2Aw71mqEJNdghINEgVJIU21wF2uTnNYaIdu8XtmmSq1puX9ZOnjVAprszNA68Xa3tjm7vLAb/Szj5csXbA8GPPrkY771d/8ux8fHXDs65M2bN4z6gxYF2IC0VmRXgRbrZaxAGDBSUlUlIMAYyqJgNrNLqThJ0MaajDqdzibJZnvQw/dc/vff/V3+1m/9FgcHByiluH79Omma8u1vf5vRyJo/njx5wv7+Pr7vc3Jywr179zg+Pub999/nBz/4AWdnZ2xtbfHgwQNevXrFwcEBSZKQ1RW11jRGU2lDp9fjyaefMZtMuHPnJpEfsFgs0LpBoel2bOTfcDjE8zwGgwFJr7v5uoe9Po6QTK/GNE1DN0nI89zOIrVBV7VlcHRCkiSxctGiIHBtxNuDBw/4+acP7agh8Hj/y1/i+efnjMdjwq0e3UGf4xcv6bU5pZ5j9x/72ztkQjHodJFCM5tMkK4iubykFJKtnR3i0Dp589WKnz/6nDjyGCQ+o94WQWuyaajRWlJrm5u6t3tAU+fcuLaPI0qWswknp28os5y9/V3CMGSwNWK5LMmyjI8++ghMQ5YuuHv3Ln/8ne9SVBWdwZDj42O63T7CWJSE8ux4KogiLsZXZHmNUg7T1LoWd3eGRHGIaBS6sewaoyv2duyI5uLqCt8PENJweX6ONoYgtBgA1w+4vLpCC8VitWA8XVLphoOdbYywhVS5ruUV+fY0c//uPe7fv8/Z2Rm+61KV1nQX+p5VDCmBqgVC2ryDNVNFtOoMaMmVpnVwS4FSLuILjJOy0jTaAuqU41PV1uzUaEHTFliMPQ0oaRA0BKEHWrGoSg6vXUMbKwOOw5DQ96hKZUefjh0Tup6H46j2+QKFRFfawucK+zzmWcFFVRFEEYHn4fpeW9QdtDE0vHV1GimQWuC3WQe+CfCDgLKqiOMeTW2QUuC0GO660tSNsQ5hKagrO2MXue2ym6ZpKZ8GpyVwFkXBqh31RJGHcqSNQ0xT/FadA5YfEw37NsoTqx6vtUGYGuX5eI4krxtqDcpRNC23Uoh68zNYd+vwhU79zzTsf2kKvBCCLF1SVBVhGBFi9ak7oy0ursYcHNit+/jkNV/7ypf54fe/Q7ff5+nTp5tO1nN9lDZEgYc2hnUYipKSsr1bSiVsinqLAmiahoODA+bzeRuArambCt/3WCwWCGOYoOl2En7nd36HrCj47ne/ywcffMDl5SV/8id/stG79/t9fvSjHzGbzTg4OOAnP/kJ/+Af/ANmsxm3bt0iSWxI9Mcff2z173t7JEmCFpreoMuT4xNOLy6I+n2MkmgliBKr8vjyV77M09NzyrJgPrkiiUOWyyWjYR9jDKPRyF4ALb9iPr0kCmwAszAa0xT0u9boJKnJUmsYWxY5w5FNiqqLEoWgrAqiOOT2zZsbomddWQlcGEeUWnN6fs5wOKTKM8umF5bed+fGDWZS4qUpTx8+ZNjrsn9wgOr3mZcFp1eXjOIezz59xsHODlu7BzRlxmS2YNgNcZWg000IophxmrNYlWgciqqmE1l1jy8rO3dNYpatf2KxsFK1y8spYRjy+eef47mKj77+azx79ox0MbMM+zhGoq0zcp7Td/vkVWlxBULh+nburxwPKTVV1XBxeW5vwospW6MdpC6oisq6Xl2XrCgQQtK0y9VBt2dli43GXRUYHGqjcMIu2qlJ53MmyxmNbhjtbG1yU5fLJVvDIdQVP/rT71vuiXRwerkdnyURnu/iypg4DFBStwW4Xda1ZNmiqkBrnNbHIRA4rmpplpKmlQeuscLrk996lLceBxljcDxJuphzdXXFaNQnTEKSyKMqV5R5zla/a088yyWBE9EJ7QJWtqEqaZ7hKEWjDboUOMZjUWaMLy7pdDps7e1TZBmv35zR7XYZteMkm/BlEI5pTwl21GSEBilIuh2q6ZysKOj2+/i+R17aG7IU9vNVuqHRUJQ2gFsDjuNi8WJvO2XZ3kBc12vToazqLfBtILlxa6aTK8u56iZ4nsfW9sgqdJqGpjHYcD0JStAYaLSkqGqKuiHyYyoDujFIT25ghmsH8bqDt1+U/W3d3f+lKfBg6PcGm4ALgMViih8EuA5UyjCdXfGjh4/o9/v0R7v0en2ev3zJVz78NfI858cf/wwpFN/4xjfQjqIp7MywMRqnPQI1ZY0fJjQGKuMgA49JVmIcnyfPX+AqwYN3bmN0g9QlrpL0uxGukpRlja98RlsD/q//+/8kCAK+9OC+Ld6tFno9f/8Xf/wdDg4OLLb48JA/+sN/zv1799jb2eK9f/hfMlsu+Jd//MdWhTEaUGVz7l/fhmIKOmN1/pqbe9fROKAirkp7Ua5WGbu711imCwb9LhoPITS+a4/OP/vB9/jggw8wgyFvXr3i7nsPKDJNphTztODFtCAIO4R+B88LGV9+RtjtWDOMsAqewE9YXC1JjSCvBD/59BmHR0c4JRwe3uT87BXBImVvOGDZVCjP5WefveTG7TuMFykDscD1fV6fnjLa3WPuebhZiRIOiXAZdLucxR6963v8jVHMy7NjOnvbfPrZIz4M36G79JC1AxrmWc6VMgTZK/YP71GWbTKR43IxmXDjxi2efP6Yq6sr4jhmZ7TNy+fPuHnzpp2DLzKevzphsSpR0znpYs7F2Sk3j66zn1hZHEHL+8lLOnrJ4XDA5XhMXdcMh0OyumAwiEgj04ajCKQSpHnaxjA25FlKFAZEu9eJ49iiInyHsr7k4Po1rqYTGhqMFAxGHSLf3uzDZIArFa6wS+/5fM6D927y5PlzVsWKII6YnzzG2dlhnvv0ej3m1QrT6dDvWYZ7mFhQmLMJiX8b/L0u3L/Y2UNRZZhabzANnutR1xV+G8EY+r4tRJSkeYof+aAUyyyzEsIsIzfgG2Gvi06Pbse3S09tKLIM0zQESpObFZPZlAJD1O0Q+0NqA7UB6fooDYFySYuC7OQcKSU3b96krEuuqoLAcekKG5wjWmdnnZeEgUduNDgeTZkTRxFNrUlX9sRTaYPnBdSNoSgtjqDRAqUluv3l4OK4dleVpimr1MZxCkA4NS45TmW4vt1FeRGXi5ppVqNUgEgneEJTFnaPESVdHNfFCQOEcrhanIBwKJoaoRSrfMVAKqTjUdaNze9tMQUYgRZ6fe/Bawu9lH9JCrzjWOZyURQsl0vGsynXrl3b4EuTJGE8nfLbv/3bfPzxxzx//px33rlP4HmbhUmSJOimRXKenHC43aWpC3vnFAIMaNbSIzvTqxpDt9vl6vKSe7fvIKRhPB7TSVp0r5KsHLuENE0NwqHT623GM1/96ld5/vw5o8GA8/NzXrx4wf379zfGLCEER0dH0Ma3eS2Ya7FY0O/3bWSa69BoTdVoRqMRZaN58fI1qEuU8rgav7FH/fPXFEVBJ4rt559bKFmjfzHey3JtQgaDgZVMti49x/U5Pz1hMGw4Xpyxvb3D9miE26qMqOs2ts4u0bRrTS9BYNn2/V6ERHNy/Jzz83MevHuP6XzO2fk5q1XGZDIhiBJePH7InXv3uHfvHr3RFkm/x3hqIVeTyYR+3wYknJ+fc+NgF29yieM4PHjwgF6nSzHPUMplmeWkacoyW5G0HeV68eo6Dl7LV3n48CGTyYQbN24QegEnJyeb4ty0WN2joyNmsxk7Ozsb7j5SkWUZSdfuL/r9Pp4XsFrlG2xGFEUUSzszzdKUuiypajtecIQkigN6gwEDKRn2+5ydL6nrmjTLbAarMb+Q9bqWfXYiixXI0iWLskS2SVTDkX1ughZI5YUBytRt+EVlwyLKkl6vt1mSrk1+DnzB6PS2wK+DP2Bd4O3ziLJTTZAbfThab0aaxpiNMmXNKNo4Ydu3XxsAwzDEdSyy21MOe3t7FhpnDH63g+u6dPs9cBSisfTKdR7u2lVe1zVo+zHWSI3+bhfPcalyG0zjt9/HGqbmGZusZm+0FmGyXqIq5VgptbHNUd00GA2lZtOMrROT1ma3dfSlUoqLiwtcpyHyrGxStDLKNa8faT/32hy2fs6t3LLafJ1CCIvbiGN0s9qMY+raEi1/2ePPLlt/pdr6K3+E/wQPYzRZZp14vV4P4SiWyyWqvbB932c0Gm1UKL7vk+eZZahnS376s4fcvHkTx/P5/d//fXZ2dtgb3KJszU42Ss9BCIesKBFKIIVDVa2o51d0Q4dGVwgDhRScn57Q7yVIBGUNrgGpHKZXM46OjigL+4I8Pj1n7+CQp89f8vr1a+7cvMNouM2gP7I3HG15Ers7+yyXSz7//HNu3LhBt9fDEQoaQ9UI5vOU2AiCqIMpCgb9Ea4XoFyP0/wCXRUc7OxadkpZ8urlS3a2hja31bWpVtJxCJKYl8dvuHd0i26/z4tnz7l7/w6hdLkcT/jo61/h4vySyPPwlOWYFKsVjhQESrBcWSLleDrH7/bxo4Q48BGNHUN5oc8qyzg5O+E3xG9YpYaQRN2YN8evuZhM+av3Dvnkk09IWh16XddMJhO0huFwSFEU9Pt9u8B1PI5u3OGTzz/lnVs3SVclgRZUwuFyPGe+WmEE3L9/7636oe1Ku90uQhu+9a1vkaUpeZ7z7OnzTfxcr9fj4cOH3LhxY1NcZzMLlrOwrJutAWVhAzGUIgh8K2kzmoeffMpoNCLpeCjRWCBWp2O78cYGMjtuiOPbJK+TyynGKC6urmy+rnIZDAYYIegO+u2CcWGBXr5ia9Dh9NVrijzn3p3bGGNBVA8fPsSPIzpBQNZq1H0/ZDiMN16MfLViPB4Tt/pt13W5NhpuRi9S0hY78Ly3iO234D173TmOYyPyVItHwBaxdQh679r+RhO/Vl4FQdAGtFu54XQ6tbREpy1ajsur2Yx79+7x2ePHPH/+nKTTIT0/J0gSimy+0d8vyxKt602BTSIrHXzx4gVaa4aLPqPRiFGvRyMF06IgaGmWoHGMQWqN2wYBmfb7r3WDat9GORKtVXtjE1RVuREnrIty0UYmrhfOSilqowkUuA6UeY4WgqKuWKQ5g8EAYUJEk5FXmqrWUBcEjqCuLCCQRuOFkrIoaYydxRelVWU1WjOdLugPupiGTRqXbnOBNW9NnL/q4y9EgV/rUtdUQ7B8mItWipWmKTd6PYLAdqM7OzvUdc14OkNr2/m6rsvRzSPLWimK1lptVRnZKkXpBtf30VWF1hWVbtCNocxmzOdz7t69a/kqTblJbJIKPOVsXgxJ3OXk7JTPPvuMXq/HR1//OmmaMp/PqeuaMIkpm5p8mVKVJbK1PWutSfOMXm9AVlRcPH3Bm9cn7O7ucjVdMl8sSAZ9srxCuh571w6oqwaM5M4dG3oxvZqQpSmDwYDvf/97/Od//7dBS/zAw/VsJ5c0XRpjcAPbKa7NG3WdEfseRZFzsL/L65cnTMfnVJQoIPQ93rl1g2Gv356W5uRGUNQaKWExn1PkJdcPrnF444jtbIu8LOj2eyzzEl0ZOn0HFdgb8fd/8AOGZUmQdHDa4jqd2gs7SSyUqygKJrM5yzzn9PSUxPPpRhG7167j+iFRkhArRdJJWC6Xm7g01Z7qJpdXdjbddsfb29tcXY7p9XrcvXuXKIr47LPPCMOQR48eWdVQVbFcLplOp1SN7eAmsxm/+Zvfso7ONOXi5IK8Ktnb2yOKIhynLUBVDkIzG09ASQbDLZAO6WrFYrHg5PiUXjKgKGvCyGYO9AYDGmN4/PgxWmt2t7fb5X2F7zpsjYaslkuW8znz+ZTQd5lcXbDt76O1g6FhNNpuTxeW976OanSVQrVdnhKi5e7It/hZ8YuSwC/iZ9cqGalEG6en2lm+A7renAZ992104Z816nzxczmOw3h8Tp7nHOzuYYzhs8eP2dnZIasrm9egDfPplOWyxPOsVDNJIkuyvLoCbSMmLbgrsyfd6RwaQ+D6xElELQVVu1SWxiBb0UAjjcXsonAciWmgKqtWT++CMJvCrVs9/HoHV9f1JjYT7Cknz3NWeUESKFzHzsTDyLMyS2zWa+A4ls3TXt82BtK0c/kGAbhSYYRFk5u6AdYeBfNL81alkWihv4BR+EtS4HWbiL45ArqWmUL7Ta7HLjRwfn7Orbt3LEvj8oK6rhj0O/iByx/+wT/n+vXrDAYDnj57hTY1g8GAbidCC0HZgBOE5HnBbDa31uzl1f/b3rnFSHKddfz31bWr+jrdPTM7u7NXe7NZx3bsxSSOk0hxBChEiKc8ECGRh0h54SFISCgREhKPvJAICSGQQLwgQAgQUUgUjBMQCSLBcXZtr+21197d2bn3dPf0vet6eDjV7cFYSOCxZzNbf6nVVaerR6e+6TqX7/L/c/nCAxhGQjIdsHpiiXa7TYqBadqEqaCSFCOBNJpQbzZ56hMf59atW6ytr7O/v89+lk3xj9/+NmfOnKFk2QRBwGNXrlCvN3j51Ru0u10+cPmD+gHB4pOf+BS+77PW7pFgEymLbr9PbaFKnKSQJpR8V+f4A5VTq3Rae+xubfOxj36UbrvN0soy01ArN02CAEyDBEUQxCRpqknPwgjLFHZaW9iWQzDuc2Z1iVZLGEcpRb+A5zoUPI8oDGjvdzBMCweTvXaLeqnI5vY2lu2xu7dFq92mWPKZxnqrmqiAheYC6+vrjCdj+v3+XGJxll46nWq3R71e51vf+haupV0QVz7yJDdvvslCpU65XKXguJjFCp3egGmYEE1izp09QU36dDMt18lkgu8W5qvA2fZ4PBwiItTr9blb4uLFi4xGIxzHmatlra6uakWdkq8DhJMR16+/yOrqKrWFBg996DKb2zv0+30838VCiKIAr+DiFXRBU2Nxid5wTKKg2x8xHEwJlMHdzS0WFhZoLi7OH9AkDLl08SL7vQ4bGxtUymUsQzHqD/AcA6fs4doOjgnBdMyDFx8gjBPCIMDJctSnGY2GaZo0GguMxyNcx9Fl+SiUihBJEFEkSUCSMNcMCILR3HUz0xkwRX8WJxFiGojExEmKa9kkWaKBZRgMhzrOoEVmtGB7oeDO1cTSNGV3d4fBoM+lSw+SJAnXX3iRZrOpK3wzKcwwDBlPJtzd2KBeazIdDvA8jzCYMJ2kc02DNE1JgVKlwnA8pmyXCMYhb9xZo1itYPsFGrUSthiUDcE2ddxooEAyl1Q646uxtf3DOCSJYyzLQTJit9ngOnMRzQqUxuMxaZqyt7eHaTuUi2VUmmjmytoinqcQ02U8mlCqOShJSKcJiQmj6ZhRpsmAMiiXSjiOjaEUfqYdEBsuk8kEnVGjSJSgpTb0pDVfyaeaJuMwyAruiQE+SZO5hJjv+wRxxNbWFidWVnj++eepVCr0h0Muf+AyKysrhJMpru9x6dIltre39d/IaA3cLOd3oVan3dEiUoZpE0Z6Z+B77nw1ZwOLzToiMa5lM4oCBv19PNdlNAmybZ+OgKeic9JUCkEYkSrhmX9+lmq1yonlZS5dfoh2u83O9i5RoaCpVcXk5s2bvPTyyyw0FqnVGlrYIxpRqS5k7oQqpjlmNA4YTaYkKOIwoLlQ1TTGN98gmE6oLqxy5coVrl69qnc8Xkb5GoZ4qctMIMS2beyCSzAZMZmOoBNTrVVYPXmSTrvLydVVokgHDE+dO83W5romnUoifK9Aq9WiVCnjFkokYUS5WsN3XVbPn6PX6zGZjnWhSppS8X1u372L4xbo9XrUajUAHn74YfxSCbdYZPvO7bck37J861KpBDCXhKsWS6g4YZJMiFEMJhNdYDOZIEmK6RjzghxLdN5/v99nv6PTQNNslbm2tjb3CY9GIyqVCkopdnY00VqtVqNYLPLAAw+wevZMJoTs8YPv/7vmCHEKdDodhhkdw2g0QkUjHfuoar/8XrdDapikqc6UGY6nTMMIy3ZZPr+E53mUy2U2Nzfodrv6eGtdyzIWPKJpQKe/R3uvS5QNCNVyhThKKJZLnFxZYTgNiJKEeqOBU/Dp7+/T6XQyimdPE2LZJmkU6zRIZL7LfKv8Xea/85lvGDKyraz8Rru8YtJUfydVesATlRCJEEynmL6PbVkE06kuqMrkBMvlMpK5eAStQVAqlfjQo48A0Gq15n7uCxcuMByNOHniBE7Bn7sWDQVxFGu6ClsvioIoolyuZrxRFgXbZZBEDMdjjCSk6BdIDfAsG8MQbBRimJnrLiVNk3mMYKanoJKESAUolTAeaPXRg6Rfb9/5mKbJYDSiVvFRRjqfXA3TxLRNoiBAcPUC1DKxeKvozDSsufrTzEU5493HfMvnrua0fTPhwPcG98QAP1vBTyYT7QqpVlhYWGBnZ4d6vT7/J3ieg2l6unTbdOarM5XElOsLVCoVer0e/V4HSzzOn7tAf9AjFdhptTJRbIti0cezDRzTpOLbmCi9bTZ1PqtCC05jmLQ7+3oQLZawXaHX7VAtl2kuL/HIhz/M6uoqfqFAo9Hg1q1bPHjxIsZwzO21NX5y7SrTOObU+Qs8fuUJXnztdZaaTZZPniHBpFCs0NptZUK+EbWFRfZ7XTyviGm7TMYBp06uEEdTNtpTSgK94YDBeMjyiUUGAy1+POj1dOFK0SeZBnT297EMWF5aIQw0T3a9XqdRb/LmrTUmsWK/38f1yzimxTDRfCZOwWVpZRHfKxFMQ86cXkGwcM+cojPoUvYLPHDuPIPxiDu31/C9IuVSiTgK8VyTcDpk8cJZpNPBdl1dCp8mJEoRx9P5/zOchvi+z803XqdRW8CzDHzXRQHtQZ/uaMg0Clmq11kuV2i3trENE0sMqo0GURCwu72NbdsM+302Nzc5f/78nBfokUceIQgCOp0OV69epVqt8vjjj3Pt2jVGoxFPPfUUrq8lCpeWlnjiZ38mW2UOGY+mWJl7y3UdnKJOJxTDZL/fJwpj1tc3dRaIaVOtVimXFLV6nSCMKWRJAWarpf/meMyFs+eIY+1nHg+GqHiMvWzS3m1RLlZYXV3VLjkxMC2HYsXTtNe2y53ba4RRQBJFlEq+VpYaj3ThjSGIobANA8vUItc64GmRJBGGY6FSnfaZJBEqNekPRpw9e5bRYIBlKuKMkXEynfLmzTdJlaZsTpKEB8+f0/TPYcjS0pKuUcjoqmdFUSdOnJgP5lGk3TGmabK4tMTGxoamXL51i4LtUKtU2Bvo36aRxuz396lWqwwGOv7m+SVsV+szOI5DOo0RW08illggJnfWNqiUirhLywwnU1wxMD2TNNU+dtO2kQM55rZjYZiCkU2CruX+t5jEzN0023HO6MdHQcRoPKZaKoJhsbvbJlQutusTRTHj6RQ747qxLIs4SjFEsAw9MUZBQKlYIY0jVKKFRaI0JjWylNU0JghjDDOjm5gtIA9w0ByjIKuab9FmAY9yxn89y7qIkmReeeo4DpatV2qLpsk0jBj2+9zd2Mz8gR2qfp3VMyt4sc5njeOY0XhArVrCNDxq5RIiBoahiw+YzeTobZ7eyuoiHlEKA0USQxQmiGHjFWyaSyfAsBhPQ5zRBMvUqkqOaBqElbNn2Gl3aZw6xdrWJlgmqZi0e30KjoPnuFTKZSa2je17KBGqUkcMCMOY1AUMwXU8bEfTthYrFXy/wNmzZ9naWNeBMlG4xRLNxQbhdEqchJhiz+MRaZSwvbWDWyzTHwypNJcZTEMMZVCt1vTEZyqiJGFra4tKpaLvE4OC6zMa9EkB19arov12h2JVu4Am0zF+wcE9tQoqod1u8/0f/IAz585x6UMPc+vuGrbrEsfax1qr1Xjp2ovs7u7y4AcfYmmxjppMsEVhex5KpRi2Qa1SxjZteru71LPfQJIktHZ2WFtbIwgCmvX6nLv81IkV0kz7st1u65hEqcTy8rKmSK5WiaKIVqvFjRs3WGjqLBvHK8wrjPfaHR3cNz0KBa1q5RVspmFIFCYU/BKlitaBTeMEv1DAsm1iiQmnU/b2B5DqATIMNc1AtVxGpSntdpsbr7xMr9vlA5d0vOfUqVP4fokkTukN+igsUsMiNS0mYYDChCQhjhLKpRK2bWI7FvudKX6hQGAokijMAu1ZJSRpVt6vj91CJhEXKRzXRuExHY+IIu2zd217ToGbKk1p0VjQO6Ret81gMGDQc6nX6wz6fdxmk4LjUK3owLRl6KCt6dhaujJJCOOYvVYLDIN6va6V2KYBwWRCs96g2+0SJxHDvpa4nO08QLtNgiDQSlQGWJZJ1Stiug6pbTEZj+m0uxiJwjJMlppNjCjCNk2U0q4PdWAXY5sWpryVUaSU8T8G+LcTe4mI1kjIdjZxHGNYCcrUOtC6TiDGcR2SJMQyTJSRaLeKUqRpguO4iKH04iaLhRmWCWmCSjNZxDCcTypK6cla0C6ajFnhXeOeGODFEEaj0dxHOCu4mPOjZNkE16+/lFWK6rJwd6YVmsS4TgGVxKxtbvDJT36S1164wfWr16gsVKg2y1QXSvrHKAmTYY+Sp2d6w9Aao2Gq/4YlikAlWCLYFhQcA8eyNU1ApBDLZLu1SxxohshiuUw4nRIlCZbrYJgmzYUTeOUyEwUnyxV2BgMCYBQrvCSh091neaGJ5ZgUJCFJAsJRJm+nBNe26QcjPM9HEh1Veu3ObZwth8Zik0qpyO6eLhaZjEY0ahVsw2TaH2ClCvEcDIGC43D65Cm2tnZYPX2W3jDs+c4AAAaGSURBVDhAWR5XX72F5xUpSJe0E7O42MT3PSbTMfX6gk67K5hs3t3kxquvUavVULbDyUaTpUaD22/cYjwYs9/ep729i9GssdhsoJKY//jXf5sLGszSzuxMHEREqFQqPP3009n2OaTm+6Spdk/YlRK39vZo73doFms0yiX8RGFkq57ZKms4HFLLAravv3pjrpg1mUxIkiQbOH1ardac/Gl9fZ1HH310vvJUJJrHp9thY7ROwfXY2t6mUPBYqFf1KnUaMQptptOUu+sbczdRmijq9bqeCKMIQRNabcYp02BKfzjixGKTzlTffxRr0euVxUUsUsTQg6Fr26CEol+i1ljCKng4jsdrd+6wvrlHvdmgaBksLy+zvNSk1+viWppW2LEM0sSgYBeyYGuiM/dUMs99V1lldpJEBMGEYtHDtk1aezuarkLA8132O21EhKXlRcp+kXq9jlvQrrPJZMLt27dZW1vDcRyee+45ms0mp0+fplqtzjnlX73+GgXPY3F5mZXVU1RlAdeyabdapFGMiiL8gsfW1hqO7WKIcPmhD3J3bZ3UsDTvT1ELoSjQzJmjfeIwxjW0gpvYLray6E9CNpIhKdCKhfMlh1LGBWNbBoYBcZJonVXT0rQlSZYumR5wkxxYKc8mgFnKsSFZ0BVBiQGmQcH1GIzDTId4h5JXxUgixDAoGKbeBbvaHdnudvVuwhKUBUEQI5iEUYplahdNlCY4qV75K0BSQa/is2yaQ+CDl8PYBrzrToi0gBGwd9R9OWI0yW2Q2yC3wQy5HeCSUqr8//3yPbGCV0otishzSqknjrovR4ncBrkNILfBDLkdtA3ezfffvWx3jhw5cuS4J5EP8Dly5MhxTHEvDfB/ctQduAeQ2yC3AeQ2mCG3w7u0wT0RZM2RI0eOHIePe2kFnyNHjhw5DhFHPsCLyGdE5IaI3BSRrxx1f95LiMificiuiLx0oK0uIs+IyOvZ+0LWLiLyB5ldXhCRK0fX88OBiJwWke+JyCsicl1Evpy13zc2ABCRgoj8SESuZXb43az9vIj8MLPDX4uIk7W72fnN7PNzR9n/w4SImCLyExH5ZnZ+X9lARG6LyIsicnWWMXOYz8ORDvAiYgJ/CPwi8BDweRF56Cj79B7jz4HPvK3tK8CzSqmLwLPZOWibXMxeXwL+6H3q43uJGPhNpdRl4Eng17P/9/1kA4AA+LRS6sPAY8BnRORJ4PeAr2V26AJfzK7/ItBVSj0IfC277rjgy8ArB87vRxs8rZR67EBK6OE9D28v130/X8DHgO8cOP8q8NWj7NP7cM/ngJcOnN8AVrLjFeBGdvzHwOff6brj8gL+Afj5+9wGPvA88FF0UY+Vtc+fDeA7wMeyYyu7To6674dw76vZAPZp4JtoAsX7zQa3gebb2g7teThqF80p4O6B8/Ws7X7CslJqCyB7X8raj7Vtsi3248APuQ9tkLkmrgK7wDPAG8C+UmpGFH7wXud2yD7vAY33t8fvCb4O/BZv0Sk2uP9soIB/EpEfi8iXsrZDex6OupL1neh08rQejWNrGxEpAX8L/IZSqj8jf3qnS9+h7VjYQGki8MdEpAb8PXD5nS7L3o+dHUTkl4BdpdSPReRTs+Z3uPTY2iDDx5VSmyKyBDwjIq/+L9f+n21w1Cv4deD0gfNVYPOI+nJU2BGRFYDsfTdrP5a2EREbPbj/hVLq77Lm+8oGB6GU2gf+BR2TqInIbNF18F7ndsg+rwKd97enh46PA78sIreBv0K7ab7O/WUDlFKb2fsueqL/CIf4PBz1AP+fwMUscu4AvwJ844j79H7jG8AXsuMvoP3Ss/ZfyyLnTwK92bbtpxWil+p/CryilPr9Ax/dNzYAEJHFbOWOiHjAz6EDjd8DPpdd9nY7zOzzOeC7KnPC/rRCKfVVpdSqUuoc+rn/rlLqV7mPbCAiRREpz46BXwBe4jCfh3sgyPBZ4DW0D/K3j7o/7/G9/iWwBUTo2fiLaD/is8Dr2Xs9u1bQGUZvAC8CTxx1/w/h/j+B3lK+AFzNXp+9n2yQ3dejwE8yO7wE/E7WfgH4EXAT+BvAzdoL2fnN7PMLR30Ph2yPTwHfvN9skN3rtex1fTb+HebzkFey5siRI8cxxVG7aHLkyJEjx3uEfIDPkSNHjmOKfIDPkSNHjmOKfIDPkSNHjmOKfIDPkSNHjmOKfIDPkSNHjmOKfIDPkSNHjmOKfIDPkSNHjmOK/wJEiZr5yUUCGQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thie dog is ...Australian_shepherd\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test6.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "please input a picture of human or dog!\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test7.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "please input a picture of human or dog!\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test8.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "please input a picture of human or dog!\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test9.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hey,human!\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You look like a ...Dachshund\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test10.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hey,human!\n"
     ]
    },
    {
     "data": {
      "image/png": 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j7fekWukIzcFSxZeVbLaNb7rcyxs3h18IEL76+IYY+oi0Pj9kTb+H/KXb8Mzb37At1KC8h7LFGRMtgd/ljJaMloKV+LfnhHhgmGiw9S5nAlRc8OGpkxgmQc6skU6SQZQOfDwgEIu0OAnIcAi9ID2hlgf3kHCPyHU1wGaGug4CSDe8PpCMIJ8vsf3No7Pi01/k+1Uurmt1RCNLOp1OsXl1JTDjeftph7vz0c9/HhH91RUvX77E3dntdpxOJ06nE6UUjscjvvTIDo7OcZ7Z7Semx3k4sE4SobaKe9sIQXPDMJI5HjjCyNwM8Y6QMIk0l244jVorLBEVLstCMaHtnNwCFpGBA/mqVXFoPRQVajqCBQaeL2d4wkIdNLh0ev8c9ukB8cTcpTBoNWDCxWHRTCVR3ekJmiYoE0kLuUxBYLohNsfnTQmtNVbYMTK/IEMdaZAkSDvFcBGaRiR/eR/dz/yOGZvSZzX0sJLZhmuOaHSoT8JARebWzOghaEF8BAtbNuVhxFLQpSsZHRF9ClKTFK8ksVcyGvi0CDpgxvFLGJmbWcOaIdmRNKF4ZDadAV+cA5b1s4TRSwFjGLg6noPjgNXHhypLUjiRnCZUd6Q0kdNE0owkJ6ddOMEGTdvIMguK0CWjFFQSOU1YdlqbaLTIHNCRPWRUYi+nNSsmIvlERN6qukE8iykysmtVxTXjqcR15IRWRTxDSsHJSGSfevG6q0CIbVrljTn6KuMbYehBMBtkF2dfpb4aUA0IpZ8/mIlvciaTYSzSKnOyIGwUUlakBGHjKZFyxjRw+ZQjSifFYjJiwbtHyhVqL8daHdmFh1RMQp0T2ccFftsu5HuypnJ7xEOVQioBPbUvRttnWdclSRqzYd7fAOR8bOrz9y8a+t7fxP0A+mLknDkcDrx+/ZrXxyO11jDItfLo+oZ5nnn+8cdB/C0Lz58/5zvf+Q7v/+hHHI/HoUDIlFJ4/eI1u92O9371PVprfPjhh0wpc7Xfc3N1xS4X1Dt3d/dhIFqnt0q3jgokWT8juFXSMAghwwuVUPDVM5XXSDa6F3JZONmeWktwKvuEaUJyGpLLAeE5DB4dM6Vb0B5iQewlB/UE6niTULyZbw6++oK3M08hItCV5nCSTN9fUVOiTZleduj+CtlfRVDBbijEHLUlIvrTFaU38qtr2qtXeO/IyaE16v0JrEeEqAFHmQqLBPFX1r3gK1/VqdWGwe4bdJPLhOZM2u/Rkkn7A5qnTbmVRiY4W2DQ7f4e6wu+LGQtaA/CeIX2RDI6lGA5J3LWgCxH1hVzA9JXbmREpWogHXehthOrg02iwb+4YF4w28XfOJh0THpAPZpGNhEmaleuMO24FrxXPAXcuGhnKhNookxXlOkmMPrdI1LJSA4llWRDSzgoLXKRORXoDWmCZWEqjk2RsXiPIEGTk0qQrpEpJJIoGRlQZPizTOSqipBGRF5FMBQlYCZRRXLGciK1jA+YVEfm2Hunt1h/NrD53s8YvUjflEC/gJ3/Zhh6d6ddyPyEMxa9Gvt44gQwIr41yvWQwiJggmYhyPiEpWDLdUQjnlLg/ENFIRoRtG8kMCQS7hKE8Ejl+8BJx0XENcqqqw3MD4g00n1o9B1TR6loLliv4VBc8XQR8OjAnK1hNlIyMZAUnp43jfVXHZcY/SbNMliWhZcvX/Lhhx9y9+oVp9OJ68OBFy9eIA7TNJGB1hr7/Z6nT59yOp344IMPMDN+/dd/nbu7O95//33+4X/4D3nx4gXPnz8P7N584xV678zduN5PHA4HSgoopnlHmiPWRzQ+NMTuWA1oyUUjwkao4vQ0sfgR1KnsyGXhvu6pLSFlIi2Op0ze70KVISvlbfE6zWitU+eK9IrMjdIadEdX5zqi9/ULAhuuF9rqMH6Jak7LTiUMskwlDOvNDb7bD83/flPVYDmUPVNi6s5UJixnrDZaWrDlRF0qNhvCSFPVmbsxr058XEcfPEqtLSCRC8JcVcm7TJn2pKsDuRTS4QrNQzK8ynGBLonJQQ77UAgd7+l3dwgdtaGcch/74k2tv9ORgc2vke7VdD34ktCvI5mUMl1SYOMw6g0WRBvmR7r18VorZt3H14LKbuNSRAXNYCg4YRzbyE4mI0/7gCSna8rhipQnSplIaYJU0DQh2SKDB2AQyyIBxLqxT5ldntB0hk9C0k1IYrOFLZEUGcTqCMd8KiN5GT9v75QzRmRRGY26CW9YzkjukCcaS0Txw+g3j3styEVdhg0TEwIEFfmF2NhvhKHvCM8JUlI9JtZdWYuN1gWm9NhYIgNqkUEmDVJUBFx5kg2TYOJFrynTLa7XwISQmSSBKPcpk7SMIhxFPby8WEPFcSq1L1Rb6BYpsScla6ZJePWgjkA6JK+IJDpCNx+pWqP3hHche0Jp9KHwCaitb6qaLh46+jLRxHAdaWBWjIsCkc+NIocRAVTQhopR28yjR494+dk9vcKjm8d88IMfs9/vub+/Z7c4wsTx1Qs+efaSlBLvPI26i48++hnTNPGt9/4Br1694v333+f6+pqnT58i3Uge0fCLl/fc3S+I3vPee4847B7zj37/P+dP/uRP+NXf/E1ubm7IOfPHf/avyVnZ5yvyVaPff0Ju9xQc7Xfsp0I9vcZ2NzRzltoG+RVroi0tiMSspGpIa6Q809oMAs32uCrVhGwDI3UdBOs9yRPJFZaOL42pdqQ2Ul8Qa6HEYdxzjUjKTTi2OoSa682KQMAkc9RCmw60aUebJjxH+i0pk1JiX2pI4TTR+w4HjrMwWwcatU+0Khz6Y6pPUCq5OWoNs4a4cnLnRNSOTA7iircegY3lCB4IElgEtOw4lkQviUkmjELqE2W6JuXMshJgWUIs4GBaMV1AD3Tf0Y53aFcKIVW+Ko6qk5OTRpaaJSNpR2eoXdKexWbK/hq0YGS6TMwAms9QgztWJ8xhkhLOp3VKUVof6hyUxYSprVzDLmSQukOk0XPFe6VrSB9LypQ0hSxaC+ZBzIqEXDVPJSClwXm5RIFTN6ML8bgnsERNmUNKgeunIyoT6gWVjtWKWDjpqWfm/RJZvlQO3kiW8HZk2j2Cklg0yNu3qtM1FIHd+lhrHVLCcwR9mNA0IEtXQSfBhtpKdMCYK34hme6Rff69g26clWQI7bb1PuC9C8XIwLQHXhGE7AXe6jDSvVWwOAzzgO+TyEaUmARhe4ZLBsljhHOxjovRa6W2JYpW3HGJdNKGN0cKLj0IL4m/7QNzNovimDTeixTQQrDG58++4u0phYafNDz7SPtlDRUAhDdImm1YRMZxTQklcfvoQK2V3XTghz/6a358ep9dz7x48YKPP/6Ym5ubLUp98uQJpRQ++ugjaq08eXIDwM9+9jNEhO985zu8++67/M3f/A29d549e8b3v/99/q9//yOeP3/Ot7/9bVpr/Js//3OePn3KX//1X/PBBx9we3vLb/zGbwQMMjfa6UTCeOfRY9rrRm9HduVAN8PJDFgdt1BNeAtuBGEog2ZsnkETvXa09YA5DMQE7zZCqkGUG5RUUKtDaRWp8kZ2eQYqrfeAHQLij/fH6W2QlcCm15dGXwv3VEPVlQIyMs7ZaTOCvPfQW7v7kDnG95YSyT0KwgBpV4g1vIHPbcBHDDnuWKtmIRO1cyq/rqFNGTPtSaVQpgnNhTRN5FICV08aeLMqOccctZ7wVqAkJgkC2vNrvFX6vLxBBF5G9cFZZJBCKhMp7UnTHk97TBJdd6E4Q8f1xmfCFWk9JIQArVPxyEwGAZblvMZVQyEDAUt1a1HTEn8VBWYloKmmOSDVlN5AB9Zr376PuQp+Srd6joRwReAwZV/Ik9BmpVvD7IRg5BR1DnSC+HahLxU3oWio0xBBk9KMTfDQvAfpTydJ3ghuKWUopzuLO6mPez0w+8+Pz2dXX3V8Iwy9vPGzb54a2CJ6HYUkMIzjICvMHBuE0DrMddugK+6uI5rxiwnSFToZzxsVWaGKMcO9R+GG9ciSNpJQgzySDiguHpDMpqgZnAEXUkhZC2S+SKTIxcJj1dB/boNdPu8Lw8f7KKRRcDXPM7tpz4tnn/LTn3zAfn/g1TEkh61X+iisefLWYwA+++wzTvOR3W7HPEc2cDweef06cPhSCre3tzx79gwIx/Tk9oYpK3U+8vbbb/OP/uPf4+Zqz83VnufPn6MYP/rhDzi5MpXM07dv2U/K49sdL46vWJaZNE30NpPLgeYSqYIF5huFnE73YfAtZKyfX95p5StcRgq9Khzid4zNbAN6iTkMgx9UxheJ6+3frPvNB6JimNomjdvkr/rmVQUuy5uvpxJQRwpy0SwKsyQltOzoSUMRJGv1Y2C+5iGBlHWNXXI6nzPCPuAORvFVFAQGDxX8BcFlMGBR8VibTMgutDOtDX3+suByJlk/v25VM6u6rZVC3u3xdKDLiIrzNEQWUZhl3rdK2CDHx2foPpzs0JGPvbjJEgVAyJpQF7A1EIrGC3kq499pa2+yFWN9br34gKM2GGvALyuHwciik0bFuvUJtVHbMOQ1Rg99/FDmDVZ8vFfkgOYhJQ7EIarFbeDuOkQjoglJJZJ6aQg9glCJNhlujW6BUuD8Qob98+MbYejBSdI3TKxIRD7qunnfrPrGZlo3muc8oJ6QdIkYi8ci9BR9NTo+sHMfioaODIVDKHV6BM0uuLcgZ6zRlplWj6S6jLgq0UXwVHGbhsQsCKv4FG3czA5eMSwKVxh64ATWV5zzguCTs4b+DYZFom2C6FhEGhjf58eKPWoKm29meHVIwr/787/g/vWJNjv17jWHw4HD4cCzZ882iWUphZubGx4/foyZ8fj2hmVZePHiBYfDgSdPnvDy5Utaa3z66af87u/+LrVWSikbpPOzn/2Mw+HA9773PV68eMH9/T3TFEUhn3z4UWQsZtwcJr797nu8857w0x//CN1NdEtc7wu2RIsG0VE3UQmlVQ3CXYFcEpoyOSXSGu3ZUHa0UKTH5h28hDe8NbR5qCY0ITohaRf3ioANyqrqMgmk2IiGBZ0tIo8scagkNDKAhtP6uXcJPnB/VUw0oJtR+5c0riEVo08TWYRWFvCE5oSnDNlo8xwEHIz6sk7XYVD6maALR+Ro0s1Q9VjGoXWXBAM+0pQhh4H0TBgvQJMivUflrziiidQ7SMZaxbQjaNQC6JkcRdMoViqU/R6mG3R/BfmASMHzxGIM47vCXo75gi+VXhveDdWK1RZZ/ODCvIf6aiX+02i9EIY74A+Yoso5K5rjmhqClIyNoq7YGz4cCKN2I/rs6FC3hd2/cF4pHJaUjOR4/dYq1jMSoCy1VjJRqCcueHPwBnlBlmmgDkHE2ah3aB7Fac5ahDWCU0mgxqrC671v66mva/jCVvy9juijr4wjFqqQ3W43UjbAI00MydJlT5dIiaMsvG7tBGBFs6I6MqTaAaO4dYQWi8VbaKrXagyLUmV6x/scENJ8T5/vmfpy3nh9wVXR/Q2WbDRP6pEJ5ICBxB11w72hI9VcI7DuTvmS6Gj7VGu0xlirYpFuDyziS+mXbVpi8bba+dlPf86UdxSZuHv+Erm5RcQ5ne5JSfjWt95CVTclzbIsnE5BwH744YeklHg6MPsf/vCH1Fp5+fIlv/M7v8MHH3wQmvKl82u/9mv82b/+U773ve/h7vyL//2f83/+H/+C7373u7x6+YKkUZhiZrx+8ZLXL+B6f8V/9vv/Ec+evYJkoaBKmbzf4+7sUxQBOQ0ZKbFZGoVhEVmJG9INkYbXwEt77UiOiK57OAaTBWrFvI4yhTXyTUCmWWiZIaS7TcJghGpK6eq4KW2sqi6jbYOwwSi9NTTF5iw+KJfRXIshX427E/JcNSWtVaJ5onejpYRO0VKj34cDwaLfEt1DSeb6BnQzLntbS6o6FGr53B8pJfJUSKXQcxCoKaVBODtuGU9R1dq7hWPZ7UCUYp3eXkeV54VhyakE0bs/IGVHOVxR0w26v4Z8CGgtHUiim+7fPJx3KhOuC14q1g1JC417WKK2YbDn4SCGUU4DMg1DPxQsyhbEsZKjKiGlJjKhFRKOFiW+ZfjhsEadTfdYF0NG24RQcAGadqCVNCVST6z1Hp0TtozgT41GxXrHxDBVUi3UwQNCBF7NjL42ZhPmdDbiAAAgAElEQVSHbqNKWaN9hUUri9qi2NIs7kUfjij0d8KlBfx7Z+ijDDohOSrk0sBRd7sdWUIamXOQEOvzuwdZcWJmJ0Ib8IVZiCtba7gLWc4NuZJGWti9062iIltktNp7N0OsgTUSo9VBnc/9QobuvgiARQm9D6nrwFDFoxOeuOGtYm3B6glvF/1ixndN+sYNO8NUawr35Wnz5eO1LpS8I6r9drR65HQ/I/vEe0+f8vHPP+LxzWPuTy+YpomrqyuWJfDXx48fU2uNKGVERjkHCfrZZ59t7xXY/RM++eQTaq2cTifee/dXePHiBbe3t/zwhz/kD//wD/mjP/oj5vu7rfAKYDmemOeZJ49uw7nMlc9eH3nx+p5yu2e6uuZ4usNLqKo6RJn9lBCD1hITGdezCknccGu4a2DbcaFYNapIkIliVJ9JvQbpatFUrfmgWEVCgqiC9iO1d3xo093lIqI/Y6UuoUFvy4LNc1R/Hq4CVuqRJeaUIrsk1EMyGou5DwhwVX98rkeRqKKpRDqvTu91k8maGVhEu5fVzpfKi5D/XhTasJb6R+V4BEtB7mcP52vSoUMbFZnegmDVlNBpR5Jo3NfbyKhS2daES7TkWJ2J5kJPGRtZhISHiOpe8eEcW3QKTSXIcqnxc4kMuq/ZkVRK2uMWJCajDsCJ6kgVIaVzxu8aDrh5NCIzEVzPJLCoDhkqWK1b9FwGrIet2XVC01BTWWPaH6h1GQqhGJp2OJlWlwGvhQE/ZKGObIy8x7Bh5Ptm4OM94u7gq5w8ba0uwqr45hxsBK8rR2mjMvpLIdy/Y3wjDL0glOGVi+aIRLWwn0KWl1M0K2oXKVbzjnnj0CutR/fAO+6Z55nG2uDJtx4TtIrXZauqpUdZ/iqlWwlSaw2xUGP4ckTnhdTmKKcG0EhBXY8gib5GHi7IFIYEM1LvsaiXE1rb1ipXt8grRhoY6iWMs0E4Pnz4ZhDiWteisDWc2++uQle9dDRNJM98+uwz2vIR+zRxe31FrUe6NZbq3H9yR62VaZp49OjRSBfD2DOf+Y61Onbt4GhmfPbZZ9Raub295XR/z3w8cnt7y6Pra/7sT/+UT58943vfD2jnt3/rt/jf/td/xs2TW779a9/l5tEVf/yv/pT/8g//az769CUffPQpj26+TdkVKB3RMPRpQHGIRSMrjapoH8VUSsdtRloOGC4n3ApoRYjqUkRQB9ET7h2sIV4xemRKKdRe5NFvqIcxjMBOI8twpdODLLZQPS59RpNHdNwanjI2L+BKyo20NJIRJFsJhdbadiG7oDY2qWu08fBoOmY94Jhune6rUdzQIHyNJv6WsWaCqQfvpJ3oAdADFkiywi8gEkVDPgrIAh8sBEilAX10MKl4UqxbGOqVB3PFPLiAyJEDR47K0YB4PEWjMcwDuhlVr+IS3WKthZJNU+jdW972QZDznZxCmOjutDrUaR6VvsmH/DgRWdMwoDrmzcQGNLKS6KO4zCN6toEeyGjFIGtTxcENmne6K81kQH1xMwJ+66AV66/pNmps1Lifj9Els+2QsvIx0e5jFYiIBDwYdQeOmG5KofgasOMIJA0N2fLK29DeIN+/6viGGHqC3CBaEExpouSJXR4tT1MJ9cSmfIhK0ub6RnQ0pcAUa6+xyeGMa2qPTn1qCA3zhJqT3KPZ02iRK3W0lfUKtUGveBvROSA9VDfSBrbGqOYEcorrEnesDflVbXiv0KKxkWv/QmR+SahdGnphNfar/nl9jM3Yx3NDC2zAfFo43p14/OgR9MCGPz3dMxWl2rkz3/p+a5Vla1Fir6pMQ8WgqtRat5/X54tEH5jTHDi8Jvjsxaek14lvvfMW7//kR/zBH/wBr169Aoz3nr4D2rd0OU87ajeqgSelejSNy+UQUNVo+SCj50nWjFmi+WVv8Ra9ajwFNCYhF0UiGlcZ2ZE4SEM1WjQw0v4u0VXTRSCdK66RtWneahzCcDQPTx8qmoAhsnv0rbG1mdsKJ9m27gi4fiM/Zbyo9461Th6961tfo/Zzde4aQ65Y/CWWfDneIGfX9zUfSiQPIyYXxRsw1tWK9bZo073oFgWbRKTphGG1MUHWg+eFEDkkNkHStqZkZOVbjyBG9G8WqrUefJepjfnXN4Id976145U1YzbDPEqcAgxbA55BVg54aa20Hq5x9PM3XMsb87XBXyJv+M9VfulD3oxETYyLDgUU4bgkY0jYjvU9YPQMaohGUaD7CBTcQYfib52LYftWDf2qo/eL6vj1XugG6Z5rOn6R2ppvhqEXZZ8PiAj7suNq94hd2TFN+0g/JUdnv4GTJ3GMdla1JCFL9C4REu10F9Wp7nht2LJEmfNyQszoyXDRDXZhlee5R5TW56hStCWI2b6EIxCGPI+QS3osAKWHcVpabCRzZF4iO6gz3ireF8xrVB7ms8FcxyUZKyMljoNREiJpPP+LMA8Aw4Arzg/+8i/55KNnPP/oU7Iq+5IQq3zrW29x+/YTUkp8+umnrI3T9vt9tCsY/e5TShHjjJ/NjPv7e9pILa+urrZ+OZhxd3fHkydPqLXy4sULHj9+zO/93u/xk5/8hPfff5/f+f73efx4TyoTP/irv+DJt57w9jtv86O//jGWFCkTpzozTYVaxxz7qpgICa3m6FECOnq0CPgCXiLatYyjIxI6GwAVx7Si3jDvJKlhRKRFsKDRxtpZ74VijLTdFfMeJJr1gHUGyapiUBt1jkKXdppJJnhaINW4/31HTgGBrBhypo3KW6G2jjTD70/4acHnhbZ0pLcR4fsZrhlqjajAfHNzXxp5M4PWYz3WjkvDpzh4Re3cfhiHpCX03AQ9JdRAgXq893oNFUeHTLC5kmjBP/SQEDfrWHPKWmiF4ZJpAu7RYVUlgp+UhZ0V2pCnCsGhdOuoytacb/08rTUwUI9mbd2iuKqb0ZOTNOCZ9TO5xf4x74GDQ5CkqpF1XARUskbIqtuaSUmjvmAY+2h2aFG74GMPmuEdRBMmhS59rNmo+m0WgaRK2ALxJfB599E4cRDnziCGo3hLpJBHALYGXCnnzSEFzMaW1V3Ka7/K+EYYeh0RYkKZyp79FGXLuzxFVGER3SVVor4gUkBzJ+cpojvtm5GKiQzlRKg3WqgQSgWP1MnHorch8+oWaaH3UAEIhvSR8q+9vonnrg4Ghv4fAfGI3CUPCxVRm7pvEVb0snizn8r6up+HbuJVdRi1c3S/wjWXEX0dFaUpJXoLrfL19TW7UvA+8+znH5IyHB69TSnlDSx3jRxWAw4B3azPWfucrDj+qtJJKTru3d/fxyEvLXDKq6srHj9+zF/91V/x6NGjzZFoDhL19vYRz58/53Q6kfKEpEQ9Nq4OmVoZn3W03V3ndp0fZFvo3WoYRRGiGVp0JE0yYDFRujjeorBGx3kC+Kj6FN+wd4PRA3x1EroZis2IdlhpMZPIgKSNdTVFcVQaXTYNIhOSjKaotUAkcN7eR7/6wYvUOKDEe9/W2bkSXOijeEv+H7L0rXrXVg7j4mu8rvqqRIq/EYsqV+/xddnn/CwKGEbXjTT2k5khq5Z/c0grPxXyaGDTqecBWzjRXRQ1up3loFvEC+fMauDU3kPCnJJsGRUXmagPySmju+R6vefIly1jlcGv+UWmZITQIf42ggwf/ZNUFfFCS472IbG0aAhXCMlqlgEp+qqSMqKpXhv9aiKiD9iGzdlEYf85qDOXTca6yWQvspw1qPu87fiq4xth6FNK3B5uEEkcdo/YlxtKmTZYJrpRGuI1CBkRjAmxHU0Ce23eKBPMXdhJo5/Cs7tV6HPosE8CuaBlhyGcvIxFcU6ZMxYyMDO6Nxwn6UIhiLpkjtRMViHlHYZGcY9INGhq94HFe42U2GfwGfqCDk/d6OQypJlEZZ5YCfLKFLGQ70WuP9QDKx63RvEX36/KE05393hryLzweDfx4u4112nHy7vKO09/lXme+eznPz2rmlh7vxvqxOlAJd5jd/0kiO7TPfOpUVJhty/sD0KvbeD7menRNW+98zbPnj1jf33gV371PV7fveTDn/+Ed58+4Tvf/Tb/9s//nLf+wa/w459+wG//9m/z7rvv8q/++J9Tl4V33nmHvhyZdpm52+ZAt/YNGiGMeiOnUCvZ6N3dfEerL5EeRU9dEy4Hjmmii7JYJNNvS9zPkNBW1I0+irA6YVg8KV5g8Win0Xobaf04Ico70yDNX7vhVimeKX1G6KSTkntnJ7AbvUiSVPJ0T6o7dDjGOs/h7I8n5levafNCuTvCssA8iqXW5moGTo/sIRtY2ozXmvLHgS6dooIkcJ9JfoN2o7VTZDRzoqmQrXMoUxzL6Dq0+Q2bl+jltMzoaYEWMKP3TmuV2sc5AjAy2mizrD0cnWpFrXJvIRvcMfB1nGZOFuHUIhNLuuN1OUYWLAmtRsqhbKrWsORxHyalnBzrLQqTJNRx0TkyUR16i7Mhku0hO6pg6URPS7Q2oQU05NH3Klta5XiUPIW4o3fU8iCpo0fQqaZog4KDFJJk1pP/pC3gsNcJy8bkhlmhd42DV1KneXAsyWeQGi2sfcCrNkV20TT6OqmwEBBP1j0pG04azjACABvFmlGwaZyGUwmD/9Vt7DfC0KsqVzfXKIX9dMN+dx19rM/unbWDnA7yszubnHKwVXSL8nPtuqk+ujOw8oWOxoEYfY0KLvqYDCOz9CGP5BzVJIkyCBfGCUERvUQVHJFeDnwQG6fquG344PYRRAYGvXbDGPji+m+//FqLftbe3Wecfv2+evk2L+z3e5b7+1DKdLs4Ai1IrpQS+7TfUtZ5XsY1zSEzO8VJRofDgerhBGqtW7S2VueeTqeB5+84zTO73Y533nmXaZpCW1+NF/czIsIPfvQBu0dv85MP/obrq1skZX74ox/zs59/xO3NTUS9OZOUIMq/pDnbNm/uW+Tn7tR+H6RhiqZbXUcfdIGkiWmcOuZtxsRJ3uOsTlrwJ/0sexUsqpb7CqavxW/KegfXaHcF3Fe9tyGw6v/nOJay5xytGEpF5oqNVti+xOatxxP5OAdJT4+1Pcjjtfvh6tBifYdgcPvn2OHrebMr5KFEbxSHeG1XXBc6KfryEy0BUt5FRbE7fZkjoq9x0IutWcmoscjj/QI2cZrEUXeqIZLAQcsEttCnSisNRTBv5LTDJVFURx3L2oq4j1YnMd15yEIDoor9an1E1gNvR6I6OkprJNROqliPbqBRa9KwXnFpNMbBKmNfx/GP5+xwtSNrYdR+35mmHW6Fai0yhGZ4i/2fFXqKFuQiIe2Mdt1OzjZ4uoDyEp02oNnuPk5gi6p5QcnTRMrRMC0Jsbc06gFW6TVd6CJM00QbXJm44yNz3qC6rzi+EYZeRCiDeJ2mianszpuKdWGnoXoJA+m2tvINMk5dt4MKsipZiePUCKwQF6zXUW48Nkf88vwFgcnHRb2hWU0MKGBNgc2GCqCdCaFR9BWtacMwSTfWtrMrkfjVx0o6Jbgw7GPWWGENVWWaJu5evGBZFtRht98jOZGmIYdLiX3Zx0fsvhbTBt4KLLUFJg/c3d29eRXiG4Hr2wI26lLpOHnaR5GbOml34PXrO3JOvLo/cXN7S5kOlN2ejz79jOfPn4Om0b1QyKlQsgasoZ+rTF3v1ZamX+DRfWDrgPU2+qgsRAFKBxkHW1iUync3klfMjTSaaY0WYfhFBfMmb/WLimwTutdtri815VHxGCdTWat4jQM2dj6jPTThMmSNXuuWdZUBg62fVzX6nvgoqGMUQXW/qBZd50VkW8dcfnGG4rz3UCT1DjVwYpWE14KXM09EG9cx4CPvfWj11yKwMLZmkQlpT3GfRoGTrrAPLRyFtWgN3Y3m4eR8tejiJIsWEVs1aevR3ndIDvoGX41taYbqRaXwuj5WTo04t1c1iE+XyEQaLTKWAZus93TdV52KoHjuYBM9pbAXPtohr0VNcXpK3GsloEWJwM5UUc2I9SBaraOMHvM2sgmJos1YKzo4vfV1Q1y5aepEtkrpFVWItimGNHnDdPwisA18Qww9SJzxmAvTbk9OUxCQA29cK19NIr6N/t0j8k5KaqNarsVRclPOA/PsceJPr0NZY6ANaaHd7d7e2EBALEDY+qfDisMzWtrGmZVW4zysKIOWLeocujXMKtLOB3skZaTeX31WvI3qOtdNkrkZ+xXHH5u+zjPv/+jH8XdmcXbmcADNjGxGzvFpG420j54gu2nPPM+kVHn0KNohHOd5M7C9d45z1BGsaps8IJ5ptwdXli5oE24fv8vTR495+fqOR4+ecKoLgvL842hx/PrFHeQD6aozXV+h+wPXj27ZZWFJsOgoKKltw4IhIrlVFbRFMWJYAyQH0a1C2l2HNFYV1mMJfQljgYfhc6jtFM9zH1p8Zx6HesRxSVHaLx4OntyxFIZiSnlEX9MgWgURJUM0w2szWObQBBmOM2gWYbJoKVzGWbpmxlEFyUKWTPUSxJxPEb32hkl0hdjUOCPyBwaURbi7zfFYGKrewWdcEl47pom2GD1lerlHy9j6w+lhnb7MdKv0rQCtYlKx1lEP9dWqpHFrtKVSJMhoS3fUHFp3Ky2IgByHw5BCyy/AXkI340PNFEcIR5uL7rFPCsFJ9Dqkid2BSpynPKDMJFiTUeUeUBRpocnMUk90KqxZuQ6IdMW5be1HJTHH2hDv9DqTkwOKmgz+IQIjHZXZEXP5qNbPJEmUnHAaeKZLo5lxX5dRE9BQD+FqC7FkSJdURmvjUBJ1Ibrs5kzKmT663ZpHDUEzg9rPh9TzixGy3wxDL4xe4hnRMqKZfO4HPyCQtC1moXsjJAI22vyywQs6ot+c4mzPKLqIAwTcRiTofvalfmnUx0MXxSyrQsAFtiR6kKxxkLidyVIbMkyLnhifV0nEWZIXxOrl941sHQSsXQRs699fkFURgRIa59Y4Ho88urpmPp02I71Jydw3OCsyId1UNeEQ9hvItFYm4zIqjxu73W5U652JIie+7w7X5P2O3fUtN0+ecvP2ezx56ykmUJfG1c558dkr9ld3dDckPSdnKNOeXApTTlBOQbCbsWDjcPBBOtGjZ7qdC0iQkOBFsYptqT+tBXwi21HjmzGfUuhqGOekxokXa9n9WbYWTc9CmeJ5wCNjLTJgmDzONRARSgpCTcfB0EniMGjGEZOrLh4iL00a8tGxashoFNdkRVqip0TyuC+XB7/H6WRshn5bD5dOf/2d29aLxbuhLiFYGCKGlZD20YfFRwQvrV9INNto59EGyerr6h+Zawu8uS5gE7bM1BKKNQBaQ0XxPGSUW6+a4Vj6aBs9PlcaxekyWkUgfUgkwangiicf0I1skXKSdb9VjIVal+BXxgQp0QN/hWuEsAlxEzLmlVYJyCgNbb0HX4avtkLwJOjQbacklFyiq2fScWSi0ll7GMkowIuizLD5sd4gJK9xNuwILFPCE6Owzs8nVLXIyGutmDeo9gWC9quMb4ihF1zHAd1JkTyhqcSNdQcLrLiteJs74uEL0YZXiXaecsaSkyjkzN6d++MysLXh1W3odjVu6hq9uhEp9poWDjljI7DurKNBlIcCiBXfHZCMm8WxcOOsTx1pvfuQnQ0DpqNn+vl9I9Jb8cgNWtLo+eOjb/vlDdYBYZk5V4eJv/noY3woYnbThK2HeeuQtk2FadqFM3h0S619SOaMpRm7wwEjWiE8evw4jm4rBZfo5z7XijdjrgsqmaubR9w8fsJU9rz99B32uwOHmydc375FyhP7q+soODLn2++9w6v7O168eoWkxLNPPub+s0+4e/Wcm9snZO/s1Dkejxv0sPbhaS2yLqttOwzFzSBV1nZV9Z7gX3LBU8GJ6lUIxzrljCq0EgdvxCEn8bvVjLZ+rjoMdY4G9KUpJHVaB0F7jgwnjTYbWQIMmDRH9bUMLf2q6JAwFnkalb/u9B7RXTHiSEMRLIWyqHihKUzusIzuj4zIekAQNqC2Fet2HyGC+mheNiAGPJruCYxQn96COA0n74ETW0e94dbRAedIbWCnkUmAJ2PUII8AJyHJEBN0UmYZ50jkQm417sdyQqZdVPumhFUFerStaAuynKjLEeqC1xNYI0vAGq7x3byznGbc4sBsHU61LrDbF9Zq1j7PzHaktdNWhSo54R5QribH+3omcx6HtlcQoVmjywnrM/uyi54+lvAWMmRKGv0InKkUdqVw2GdyEnKqo51wRgqYO1Pd0VpjnhZOS6PVTl4ao1yH0dCWXclkhWUcI7natx1xXGcSmOc5ihmt0fP5zIe1kv2rjG+EoQ+kDRxlGYdMVo+ISlUxMt17NH4akXSTuml1O1Eu7IRB7EQlHx5EmqiPwzTm7aAGUsI0nyVMKNha5SegMo4oU3raBU4uId+MkGB0mPOLQhbviEWbY7UW1+OjDw6+dQvsbTUCQ1KFjC6aYeht9KU/B+8+iDcw6/83de/ya1uWpXf9xnystfc+59xXRGQ8stKuKtuFXVaRdskuWXIHhEQXAYIuEiB3+ANwm5b/BdyjgwQNLB4NjAUyxgYLYxd+INvloihXZUZmvDLintfea83HoDHGXHufGzfJsAtQ1JKO7rnnsfc6a8015hjf+Mb3uVZJp3Vrup4ejyzHo7E6HC6q6+qNQ7GR/xjppZLEyuZSDHOe5z1reUAlMO/3rK1RNBHzzO7mhrXYtc5TZBcj713dELNN1D5/+Q5Tnk3meNox7w7keWdURyyjkabs9u9x/epDPsqZLvDHp8A+KV9+9iN+9Bt/j+s5kYDdYWcZu9hiRhu9RE6Pj84wsWtrjULDnU0PpNPVtN4H3a461ht3M2WaSCnSJhPCsmwcm5/wi9xdQM/oe8mqTDeCl+7Nu9GbwTDf7G5juymTQmCeMzmZeXpIRj+9zLqaf75iFaiqsm+Z3qNLczdas3K9+0YT1GFIXy9xZKLtPFAzKHoYgGnmFA4x9RiIaUJTJMbJq7ZA79WnR70BWo29RqlIMVE/qcWqVTG6omnHeWfEKatBhNgq5XS0ZKYVQpqQVu0eDJGw4MyjYdXZKq0X82MuJhHS6oleV1qriNgzr5Ks2sGUNbU7t96z+XrXaGJKs10WulTylOxvEyE2MxpCQH1WxCi8nSTRGXcO6agizfpVFhM8ESTbBHSEKOadu8+JOWdyEqYUkWgNaqKgAaY2G9R4aCylUlrjtDSaWjIVRYkBphRIQSjRhv2AjaIqquxzopwWMsIxR+7q3QZh/v7L6DmXsc0fUhtfNxhDPcNtao5BdKjdza1xz8xerXGFDRY0z2R8yoQQDXPbrOsQelvQNqY+TWVQnI8tzcpEVZMteNtF/VpDRJ11M5pNag0ZK0HPDJzL33vysDpOM3j0Z4tA2ZpTdoPZ2DO9C/cPdzw8PBhcU6vp2FycdwdyCNRqMMXgxMeYOa0rtTZia6xrpTTlZtoT08RazaR9f/Oc/eEGiZFp3pNi5ub5S67cWCTmPUhgKRWiEkIneOalquTpQEiJMGWgsztMzLHx6p3v8OOQSTHT+53LDpwbroP/DWOq1AKtBRv7vDWlDoXQjmVmKobtqtLCqH4swIuKyQx3Nl9P8KzbAOUNJ7OKLlkT0a+3OHSUxGcMxJv/MZJiZPImqqToeixnTFUx0SzFmuHNYZzWoNI3aG3ML2ycdV/7BkN0UJuejH5vEdnudRsNoWgigCEJTNazaKNnMOh+hmHYMBbWhB1N0tD8w58B3ZKa89q3czM4tLISi6lDbZotCkiljUokJko0PSvtJmEirdhz2I3K2rX5ubA9L1bN9oGM+muP+2Uki66VKotrBBn0oRiFNnJ2Ctuq4ibEaNdCB12xY8Yv2+xKI8ZM7+KbnHvBBp8Oj4EUAykLKYgtHYf6Urams+ZKLibSl5MlpEscfhbKLtm9i8H0jQD3Su42X5EnMkLZ781Q6GQJ2nDg+6bHtyLQW65m2VXVTi+FGKH2841RfGR+MACafb7Wwqms9Lay1pNpvqhSwbmn4mP/hWFuAl46iVMmZbi/6GYDaI9jQ1GKq8tFuWjMjuyPbngfkGqzzn/vtFZQOrUVghguN2ClMSm5ZWKD5QFbkMPhCzgzBkZQGqWbqunOf/LjH3N6fORqt+d2WTeKZyuF6IYTa61M3qCstZLzTEiJh+OJoeW9ON0xTFek3Y73PnjfbOnSxP76Bfvdgatnzyml8dXtLRrMZKKSTVekK6e7W1JKXO0PxBiZ50RTn3pVJc0TWpVaC9eHK3b7A7evv+DdecdDe9johuMjiMENg1M+CI/qMLJBex6ImmH4Y3AnAr1PTon1gB6E4vTay4w+xvOASnB831RT7RFp1fD2GL1slkCOFsynFMgxcEiRec7etLbMPl9MOjWBimX0J69OWykUr0yDb0o55wsmTXCIxZg0oXkg9gZtFLH1476upEzMtqlKmpBpT887CIkW0wZrzZpwR3SkVXpZDHakmwQvmHa6Xzrnrjiub8TT3mytVYQWJoqcaM2gPdbiFN8Ip9PWR1imMWwn3gQu3kNZgZUgxTbiYOY/hAwoEu2ZHJCeeoWT1YxBlEYP1Tj13uxWi71eTTeHXgTVQO+K9HgmR2hwEgU2GayKkDx7rkiYEUkEyaQUyTGSU2KeArtdICdcmdN6euoucr0sNBVaU5a1U3qjFpNUCdKJjssXTdZDVHXhuk5ZV6YYYJrJEljLnhgyd3d32/DiNz1+T4FeRH4buMM2zqqqf0pEXgH/GfDzwG8D/7aqfvmNXlDFO/EdaJvqmzUPheOQnu2dXirazWjaDHXPTI2hHz6OgdcNTMsqrLCxIbQ7h7mptdVVUD1n8c2KRlQ72ZtjW79bz7jamx/do1EPnS3QS0c0OyVMMNW8YAVAVdfDsNfLXn4KSvCAEWO0QI81o9Z1ZXVue8RUO8UzyepNoRgjtZgtXu+d0hq7/dV2TepqMEieZ5II035HyjN52nG4usG0xydCnmgqnBN2LygAACAASURBVGpjLYr29cIT06sMbZRlpSyrzUdc7TjsXhmtLHnDSjttXZmI7Pd7Tl8p8zzz8Pjw1mu5aZ5wrnzaZVXEmTr3tp87T3J6DySO8fuLQH9e0xdVVtw21HGMDH1omlugT26encjZfmeOLtLH+feruOgWNoltCouBpGY3Z72Xc1W3SQ17cDJqr5/IxeavF+e96RK5RHHMCZknekjWB8O1WVzMxxjM+kSCY8yNpFE1eAU5Np+t4lLvi3UbLgzB5lRUzGBEfEAwjcSGQBWFHn0IUj17t0kxdbhTsYE2Iy74M2Dcy+37vds6L1WMTjt6B2rfG/eyM5qdF9OlGMRngXLca2PbaDPjcpvG79DKkzUgTuiKUXxqPFjgz0I6z3hudqEEaOP1Qie3xpps2j6I90gQsjkiWGypja6NKWfKEl0KopMi3Nx0n4NZNvj1mxz/b2T0/7Kqfn7x/z8P/Peq+hdE5M/7///Dn/kqQSB2WihAZS32YLaONT99DH+UN72tNF2hV079AcVwsLWbxdxgxzQghkQ67LaHYBx5SkZjc6pX6Y1eTajIFrMtjtobfbWBE4JNsMY43iE5b9uMmksxvXtjupgcrlbPQIKPhYeTZUMaCEyIaawSwmTyA83mAlbjZJqR8XD5SdDEzlM0UTXyk4cTbS30Uni8f+Swn7fgTVMkC6V2fryuLl+ATfrWQm+FOZlReuidw/U17fFIy53Tw4kgmXi4IYXI7fGR/nhnswq7Tn08sZ4ay31kP8/c7A9oNWonVVjLyk9uj3z87pH9dOA9eY7cK+vxSGfhNnXy1YH8fM+xf8XOOci1Gq97UAoJQk/R9OJz9Dm5SCt905AHoUikR9vMmldhs2e+bS2cYiTkhEp0hoxc0GgbMQZiiET3OQ2SfB8XQhzB2s3PpRNyJMQA0WS0d1Pg4PcpTSa13cU51xocB4cdMPvG/ZNs9LneKms0ibw+ZeNPr6vN0mggB2i1EqXZ0F/sDGJRU9NFTzkRkhBzps8HyBPrfE3aH1wvBhBl7p1ItqDWChojVSvr0XRhGs6UCW5kogHE/QAk04Bi3iQ2rdlW5tBtihW2CnxRRWLaqL4iiasQnQXn7KGAQVGqSAsu2QC7Zs5tPRgEN0+BRVeyUzGXYpTbNIVtt7ZbHaBG4hQ9TpjMQZS8scRi8vkaQNVJCyilFvY9kvS80SvCJJXcA7kpue3Z9cS0O5F3dq3jLpBysoCfwhj/sU1JD5S6oqrspk7rhVplsxy1qVwlszsnqq6IWUqhxYneE3UWap3IOfFsP3E6nb427/L/dPx/Ad38a8C/5J//J8Bf5WcF+svMzUAcwCCKtVrH2vQ+hp6zoq1SuzWA1nUFbZvwljq0IWIaLnnIDVxka+qMmI0614FuPGEbcDX8d+zkOhokzqTwE/d/XBlx436/8fcMTHnD2MW+5vocvXcIF5njJU59cb6gm6ZMjBM5zaTYeX59xevXr2nLymE/M6XE64cHpmki5cjd8dH42MHkYWttnFybP8bIWgtTnEhzYl1XSnukqfJcjT2ktfLZZ5+Zlv3NlVUXHcJhsnNv0ELg2Cq7aTY/1DyR54l9zty8s2eXd7zIV4Sm6M0Ny3KL6kJ7iEwxM8nEYnbS5/vj1/Myux/H5f382v1w2prIoBeaRPSgZgYMthNfadEDQLiA1GDITvhDfx5r8TU4mmGy+SUE50APvFw9yI8hmajRGu6eSHQgM3umV8k+5g8WcAOYyb0qdcW1U/y9e9sgw9G3CSEQdybp3ecJpok4mW/sGPIySKJDhR4zoRkfPbRMawlreAuhB2ow+e2GZ/o+LGYyHmLvHwDtlFZMzdOvU4gexLhkiVVOGjcjIVB66b4RWvNte96k0rs3rcG/r8byUbXX71Cbr5lgMJdRiHQL6gHZqqJL6PP8TPUtpgwa8mDdoWaAktR58hJJUQnJen5DB2rc/5ytURsuaJJI3novXRulZU48mqyET8SKCHOaz+u8G0Vznmda8QnfapPnIZvV5+l0Yp7nt4bTtx2/10CvwH8nVvf8x6r6F4H3VfVHfiF/JCLfedsvisifA/4cwPXNM0AvboZgfqz+Jt5klQuM0MovC769j0j9tGE0oIlhaXcZNEeTdWSMFuwNZ+4b9HMxarw1aJwypyMn4Bzot4GeS+EyfRLoAcMHJT6dBPW/5aIT6P8ObN+ui+8RDJ58bZWr/UxdZ1iPjt35evfuRwwW5CRNRhXUSivGMpVgcIdRF0/EmJl2gZQ9wLTCenqk+dBWW6sNfigcsdJxFybDimNi6abdEZptSOu6Ao/s8g5NR/pSebi74+7hS+ad8v4zMzqRIqBObX3Lx8BQt38ZUJGc74Otom0tDXhBu4tXNbOSo3VPGsyswu7R5Rw0DGrvZRNeRExFdbx2wB5U59aPB39k/Fsd7y+hLuOhGH5s7JHgjfPI4O9fbjQymqHRXY9GvyFGk9L1v3EE+uAm9JJkM6R3RQ0QmzFRtWyZaLBhkID2gJTkjdhw5tkjxvN3+CZ4XykxYDF/Bn0GYsgxCNbwjtJoTmkUEYo3PqcUXRu+n5+DNzd18WFJ1DbvYNm+BAv4wau/7REUq9Ec5LRrGC3wygUUO2LA5b/jW/a3jBjjUJAmo7dqcljqHKs2yGu7/w7pxdE/Chvc5x4yrJKMFq5nf4rtdYBhftPWsqnlqr/+lHRrmNd15Zsev9dA/2dV9WMP5n9FRP7RN/1F3xT+IsB33v/AVEEF56M6ficGW+TJzQB6d9wOnxAMtKH94Fz0Vq1BNR66nPP24e/r2Xrz9zhn9EPbvDn0MmhMrXpsURPVGtz7rbnqGKHiKnk+iNJ1ZPRO/WQ8xM4l1nOzGDVFTnvonNLmQWhMA4JQWwUNpDz54I3wePcVdTkiWGBOPtDTamXVRnY6ZqBTe7VGmItQNSzzLHXhVDr7qwCtEPvK0hbaAoHIbr6CLjzcPhAQrg4zh5srYoxcTTNCZAqB6ytj5+wO16gIa6s0FnKceO6GMs//8B8iTUprR778+B/z2e1PrJryLHfIuhZvvDXV7WNwl2wTsgdyQG1wDpKulE4cPKuuG35s2KnJEqTRLHUcVbExfGi01i/kmy0RmCbT6tdgVUEQJYbkAcV4/EGMqy9iMrijlI8efJoG95W1r3UNxHiWik6+nrvqFgSHa5I1R7uZlA8/Um/Wxhgx+R9BUqCnQMhQgjN2gltrorZRaLCw2INZIWpx0tGKiBJroGnchuQsuFmW3jZugTupju+fu1ce7AWT8TvPjPQp0dOonrr7Jpx7LEInRPv7QnTTFzohuUOXdFI3oTrVYpBr74SWCSGZh4Ekky9PQsomGnjuQ5yDfHfopvfm19tMeMYsRYyRpnYdGtD6jtozrWeTWNAAzLYhBQv4EqPJXoCLHfqUdrPex5SSQUxYvBuBPnul09V6HSvi0g5KSsFkz0Nlmibmed5i2jc5fk+BXlU/9n8/FZG/BPwa8ImIfOjZ/IfAp9/ktSwTrrazuvHEyNpbNz0ZpTuDwn5+k0bo/RzoW6MGw85CSoahZRvW8JPe/hX6Ji1g6+ciM7zYEFqzdMinyxF8lx6BHodrRrWhZ/jmbRm9lYUXDUcawtkmD8c4rQsP5yzfXmPotHRt3pjt9Oa8+GkHIluAlK7OXrHzUu3EZDZuowfRu/q1mggSKVpIfTKT4tDZewDq3TS3d9PEzeEGdrOxD4LxwNuysoZHm4AE0jQxTztObSXHyDzPxCY83N1R5cQ8BQ6HA7vdjn782tra/n0bbDOCvH2Mqm+U7RbkRS5mEfy1Qrfgac0wDyzi0tV9iGU93TS29/Vs23BVNmhAPQCOYNg5a+IYTGE6TcPjNF6I9YVuZxuj9wboaMLWs+pmJfgEerzI+EfV8SaLSzyrbMF0zbeEAsyMpTufXTp0k+NlTdCq/33iBhjegL04B1QdQvLzcDllS2jOVfP2bKnPiDh8MWb5zFzNHJS66DYwZOelGwPUlr7a16JRLSXamg7NS1yxyVjUiQtiA2kS1DJ6wjlzPrfpNubWaPp2zpUEjGexAhXtySQierHr59CiDUV6T8DXIDKuQTYWkG/YXZSQMqGf9ZXGeQ1IKyk02vY9q9oCLUZSuri2F8/Ezzr+uQO9iFwBQVXv/PN/FfiPgP8K+HeAv+D//pc/67UsO1s94zF1vK7C6oMGtbQN49rKY8fmDXOutGp2giJKKZXD4cA0GV6ZknG6L0WkzEasbxn9oDzB2HTO8EhZmmfxwRZzB01pqwgkGN629GHz5UEVM2cwlyOeBKyxkcRgTV4xoX1bEF2IEu0BFLGS34dzxLm/paxMhx3HYzH+f0i8vv2CFGczjNBEjpHT8sDV9QGls5ZG8oc9OyYoIRJyROOMpD3Eif3hhmmy6db97mDNRq+ODrsdN4crdjly//gVMSXmbJaP8/WB6+triIGv7h+YIjze3nNfG/ftli9Ohec3N7x4dsPd6TXvvvOcm5sbXrx6h7v71+hpcVaOUWvXall18Y/WGqW27T7WjfZtAcaCYDL3Hs/eOuMBEnNREsxsOs7kZNdIRFiwdQNsAXH0dsb/LWDZ6055stkMIETDZtXNsCVAihPDozUOr1uJpk/DOd/Y1VH1BIoKta5ogU41U4wYLZC42JnBAA7d+DqNvRPi8E41al/ICc0zeZ6p02yYv/+tIUDwycvaTKa49USaJwvGyxFKoHigGxuXZZu+5hVnolkQOstr+IagQ9vXKIwjoCbUht2q/c6cvb+ByYnA6J8Ue26wykcwLF/M3BFNY8Yg0I7dZI7V2FBoIch83ozFJu6Ds6OC98NSSnS168Bqm3A9HSlt3YJp7WbaUqoRFnqfgJlSAq1VUo/nyl/H7IqZBXVRW495bLCFKJGEKXZuki3qhIttrdka280zZfGE0yul1L3HEAK7/58w+veBv+RZTwL+U1X9b0XkbwH/uYj8e8DvAP/Wz3qhLWsXVyNUjOI0dEhGg1b6ln0bCfoi6xucagSJPrCSk2OU4v5nFnDFp+o20Iw3cNE3sDx7KC+yc88gB1Y/IBkJ4SLQDy7y06xwnCvx/P/zSYy/0+viIXbDucwz7Lg/kXw4nlZev77j5sW7fPLJlyzLYqbQ0tnt9tw+HskxMM87hj63RJM+bgqqgXXtxADX+5mr65vNJ7Z22M2G3T5/dcM7z55zd3vLb/6T30Tr0RpJ08ScM4f9Fa9evkueZ0qrSKsm0KSK9M5+znRt/B//6B/yT3/4f/HixZ4Pnk/0h3u+e5XP1dkbmcplVj++1y6vq+N5ZmbhmROGJ+vwL41DFRCmyXTZVYIPx/jdHT0UPWP8b75v753Qz3DPpkkyGP5i2jWGuQ853OiKk2cWzlivprEuRLdajDEj9YI2J+dK8Jsc5ts6dKMCGrMFmxBMi94NNsSnlxHD/nvO9DxBawZBpYqGiHilOKyVf9q5CM1hDL72/ID1Sk1H/WxwIl2dMQXJoTAbdLrI7AOboB6enSsQ1WQQgjRWHy7zfWl7/yjGqhqQ09isNjVJka1ZvG3oY65lTGYxkjaDYZUO7li2fVyQBmxZnFUqG3HTyGrOzQwxn4M8XoPKeTMd2P1lRh89vpQ3FF6/6fHPHehV9beA77/l618A/8o/22t1bwRGJGZQoXZrtJRmuPeQAe5dtiy5NVOmrLVSS6E20/+YJjPXuMSxtrI1hPNN6aPctbFlw/QDsphL/OaqVKz0Q32CTYIxe9zrMYXg2Z1sgd7WnTWHvAHgzAH/mzsMUrRBOc2hlLFZ4PFdz70LMf6uViWGiGonROjpinwVWTTz7/8H/y67/RV/9+/+fX74w9/lN3/jH7K7OtBrsSGaMYSWzHQ854mukZT2vPPhz/Hs+Uvy3qmocSakiefPXnBzuOb+9jX/w//6N7l7/SXLwz3SzV3q4fbBSuZg8wD76yumq2tunj/ng+/9HD//J/8sZVkoCg+vb/nrf+N/5LPXn3F1NfPBiwNzL8x//I/CYoygVtX00x1OKWujDrptHQ1Ah2o2L08LmCrB6KNu9qH5mmm3c2jKIIwoYgJTtiAsGPRC8wYyANKfsDNG7OqtmVFzc4xd5dw3wIKEyddaRh+DJRtGOfSaVcKGvecgaK0k7eRUCKFyWmVj+VyqeL55XAaogdE3SUbTjTOaZkLaEXI28nc2aYcggrawVR6qikwZCRHyBKtZbdalQT/ZHEl39cbOlr2/8dw7Wm+ubQEwpde29VDsufPxfe10EVq15343TcicNxE3K5ZkYxad78OAwxxyq9boTRGWtdHcBzooG8FCmhDntFX2I9AD23zK5qY2700ypNQzi04VeqP3hvbV1HDL4lTJSGuVqsksDkfbLlrcWdXWF6JIzKhEZ2bZOTbXxJrSCPwW0JuzruhWhQ+3vK6BJuHcZ/yGx7dkMtaaiOqNy+7lbFkbtRlOaQH5jJ0GMZ5pL5VlWWilgFg5FlPacMXm3f568dA2v4GJsfv7w6K2B7fWKKUY1bAUercy2YxP0rnxFcZQiw10GbxugX60l8ycwehjG67cR1Z1zhotq+yO5Qbzqhw4c9ANH44p0LsNaUAnxsDDKuyvXvFLf+xf5L/5K3+dx2PhV77/ff7kn/klvv+n/wx3X33GZ59+zCe/80+AMexhJauGzDzv+d4v/FHeef97DgPZAlSxQPXF5z/h7/3Tv0NvhUk6L2725Bd7lv5A753jwwPLyaGzkOkoj/0ENTGdXrP/4nNuDlekAA/LIx987yM++iPf451Xz/jFj97j7vNPWI+PiHuQrq1SWmVxca2lFlYPwqPx1i6ybCQRxOCe5Kqch+sbUkqs00t2h4NNi/rAXAoButFLs6PA/XjLsh5dSK0Y04dzM3QEGVeYdRqvDxMBVRurQvZp0CDZR+YzSabNdHsoy4/Wi3TTRbcPN+UIgW7Nqi3QP60L2Z6Dy0A/dKGUhEhGwkRMMy1mNNiU76hAopgUQZuMh49LNkie6WuziqcoU1xgHdOoo1FuLLShJgvGTmk6MGeDF00CWTZZ4NrMW/YSd2+9+SxLRZsZctgQ3mXF5v/zoOsdM2MhiU0SC5HaFlppVvV2e56De0U01U2B83KLGv8fMitWQgSTd6Y7a7pvtG2tZxo3raP5HFcMTuxO1XaWEWK+u2rPe0yRELxHBq5d1JjkLHchTn0mJbS5E5bxxlgHbXj0S77h8a0I9OgFLu5ZW6mNWrurChqkEbNuFyN6w3E44Qy53ctpQjg3O8bx0y7Q+Po2tNAuS7Izn3oclw9XcMGxczbu9EnEJiG78biDejXBRSYP1vy5XH3y9mbgxt12PexR0t7eP/L+d/8A//R3f8RSYb665u/8+t/ne3/gu/yZP/0nePXOc0JOfPnp724LlhBIMRPynptnz3nx6hUhZm+K4dmY9TUeHh68WQiHZOXyLgejUYZASIGqt9wdHzhczxYwWmeVjiZhv9+z3+95fP0lj4+P5HlmdzVvjfJ5d6AfT5bt6pnSOu7DJaTz05qzdk/EtXcmdrudMWR2V+yvrgjJYTxVcjCcdPj4mqOYmdOXujC0T7qOnstblqzqVt4Pxolq2Kh5xtAyiMG+N6Q8xvrzzYOISHvy8Mr2er5OaDy1wfn6sf2eQzcxRpMPCBlx3SHS+bnITLSgqNt0EjKh7xCFuN/RWifvd2SdQRphcxuzjcE01v3aj8YjVsUOEsKbEI5oc6eqcS369ntGojDP5Rgj/U14YptbOGf2471N5M+Zdj1sf38Qa4QPttHldYKnvbjL89wYWGrN/EHyaCGcfRGcCBFHQ7bbRP7lGlbFrrHLp0QxOnCHbZMMzpwTznCdzU9cbKJybny/uUa+6fHtCPQYRt9VaLWzVlvYZh1n2YMSKIuSfJS5up54pyBSCLnT2kq8WMwCTiv0DBxv/CpuxxrP4khBkdqJsaHtgbre0+u9qffVHTFPFsBDNfXglNBk2GuLnilOYSPiqFZEOyqdrua+JFIMA03rGfP1DF+6DadEx3IjAdXiATY6ymMPu6kvNghmovHud/4Fbq7/IPc/+Akvp5l33n3J4/Mv+PHHv8Nf+6uf8/1f+VWm+Irv/uFf4rPPPuP48EDImf1+j6Qd3/m5n2e6esY0XxE75Gzndjo+sKwPLI+f08otoVfuHm06Od5c82JnRt9ffvIpD6dH0/dpe05lZTk15n1nXoRffvkO3/ve9/iv/9J/Qbu95Xh8zc9/95e5vtnT7j5n146c7j7hpBbYay/UXlirjXmvddkaZLXZgzY44KhNcnYNpN0NXD9H80R9+Q6ym5nnZ+TDteGuKYIEa8r6pturaa1P6ZYWbtFaCOke7Su0B7QvaFSIrqanZp9Xl3Yx+CNoS/R4oDaTZx786NYT62oqiClOY7Xb/RfloSq9J3qPpG5smLkX6FBbpFRMk6Ubo2SMwwvQulA6EBIaMxJ3TDEb3ZMMJBqJHK6oQSzb99hw68194xEouU+Is45aOtAO0HqlSqPNlXpa3I3qkRRA14XUR+O1cBzP0SYgVEnz7P0SU5NNUTl5J1ovguxI0pbeibWxF7iWN1y/xhiw2BVUbB4lBuP5K51YldArISeKKj0oIdkkrLGFbE4DMdmOrqZlpQKNTpNKiI0eXfvdsfhaOjk65t6UXk2B9lRWekjkXUebafm3qLYxrg2Jgakt7nQnPHockmYS10lgDp1I54tm0ueijVzNiF27UTHNE+LscDY2qN93gd5u2pkpEULYhIVg3OxBJfM/cCTDF7u8f+H8unrOnH/a7n3ZZFN/kEop2879ZuY4pnPHcEoQc2oCK8224kENuokixua5oI6NBu3bcM6RNYnIBjW8SasbX7N+xMSz5zb9O02JKWUOhwOUI8+ePWOaI4+Pj7RqG8R+v2c5GpcxSGKejZ0UQybG7HCRlabVp5IB9vs99M7yeEsrldv7Bz753U85LUfuH+8orUGyc5plh8FKE2ma2O/3BvEcTXTu7u6Ov/yX/zIvXz3jj//ih7x7tWeKkVL7k3vy5rV583tPGuGIa7tkQs6EfJ5WDcmbsSFtFn1CIDRTQukNY6e0PSEKrUWUYNpDar2C7g5DPTrU4Zm+On6twfjs1YXAmlOEgxpId27cjrmIvq3hn1al/KysbXs+nBEmcsl399kLfVtm6L/n1y8oZ42gMf5PeOv728bm7DTPxtFzpb29D7y1GsN1iS6fzXGMGGBwyvn7o7r5OklCt2Gkn3W9vtYgvjjXAbmez2d0ns8zG0//hqdwTq3VZBdqJSSTbm4Y9l4BDbbBNjVjb7Ps7LRwpom35iQJHwCV7puhfr2SffNcvsnx7Qj06o3VbjzU3nCPS9cFd934sZiUTsSULiMZlbBhYtGbICNQAQxbuXixEMbiGRtAdXnf+/t77u/veXx8dLqmYMII5+nDmGyIK6RsgT4lK5nTGUsPGIskSKO2aFxhbbSWWas3dtRdqOR8Ptsk6OD+evlppbizOZyCFUNiv0+89+4LtK3cXB8ITFxfX/Pqak+eAj/8+Lf5wQ9+QE475oNyOLxkOVkgn+Yrnj17zpT3tNpNJ1+ib7IgJGLI7KYrPv3xD8zF6u41rdo07h/87h+ktcZv/J//BK0LL955yQcffUjr8NVr07iPMvPw8MBut+OXf/mX+fzzz7h+54a/8bf/Z0qxpncIwaiywlsDwNsWd+gebMGvS2bazexvrgnTzO7qymQYdtfWjA5x45Pb0E80zRgfuMtThGmm1hMaoJcTx7bYYFl3UTuwiVcRMwvZgpD5h5ZaidF46EcxyYAOJH/PWp8mGwYPcb7vDmEOzN6y2PNwnWnH2+bT1cQYUUFSsqZvSEjK5oyFDxQa/5Qk9rePBrb2sFW4rfvQUhPQiGhGtBJ0RsJkeHK33wvJGFid1WQYwORILuGUi/v2ZlBXCV+/x2MzVUV7IQZlzReyBf5jI6hfvmZSHwKT88DYVgWov7Y6iyW8uamYJLWI0GIj6oTWBeuxqNE41awMa62sTtFu6knQYnpVcjwy9U4PkaYeD7InrkQ0uA69Wvwww28hi5rGvTaHsWA4oPWu0CqRN4Y3LyDln9akf9vxrQn0tTRTtNNA7WpOMnFyvO08GWs/31l1QXqwDEoSmgRtJlA2nIi677bdx9ZTCE/es3fj4o9/T6cTd3d3LMty3iTspw0jDFYGXmYRxqwwvnVMbP2BEE07vGsj1mFwYLheSMVvWKOpj0KPZpiMDDVa5ufNJMNow7b5dYFaraGTJ6il8M67r1hPZnb9P/21v8FpvSNmZbe7ZllX8j4RJHB9/coEkSQRZbKsXSsSGirK1X4mpcR7L95DaSwffpflj/xRynrki09+zOl0Mj12FeZ55k+9+z7TnDhcH/j4R58YVpmfcXP9nDzt+eSTzzgcrvm1X/s1fv3Xf53+mfBv/Ov/Jt/54BWf/85vcrr9klmMTfUmvXJsgCM73AK9m4sjYsyREM1gIyZ6zNSUjF6bJ8jGgOnRJJttWjPQxbNqVR6awTOKEA/XhDozt5X1viNtpVfLvBZdid3K71GB5mSQImVFo8kTtxZJyedQk3jj0Nkq4n0f8UnRbjCEDf5ZomMzd1bZmpm78dJ7NVEzbda6D5KMqZam7b27gLROlUpfC0R7LkKM9Ggj6Jng79XQhpmtr5i8SwlIzUhPIBEJmZAq3ZUipVvzsqplnq22s8Ilb6myL47Wn97Hy5+7lN9OLW0zMG/+3OX/V1dr7U4Zjh3g3CgW3xjx3kDw88w+0EYIqAFc1uCPMzF7j60LtTQ6YiYqpXJcFvbrSk6G16sUZDFDox4iHasgUweJEWWmB/O0PVn2ROqFXRCSKNUNh6ZQiR7otdv8SNCOUp8E+OGf/Ps2oy+tk6SbemAM7i6VCMEzWHV/RXFow1kK6qbFEKhqY/LBL4z4awcvzfRiAarf/LIsFuiXhfV0oiwntBm+jhpBEp/SswEpEzR6lHChbgAAIABJREFUsykSgo/xyblBC5bNdef8t+a64Zw3CnubC5ElPcNIWHviLNEQfIo1uD7JyGomCCGyS8mp98L19TV7TYSEQzhX7PfiLCKo5Y5arB+Slor0hoQCCLoz1UYTa9pxPe84HR8Nz27C4/09jw+3ZruqgWnO5Jx4eFxZSmPKM9dXOw67a3AlyOPxSJDEhx9+yKmvPPZHnj97yZcxsiwLN3nHcro/X4e3rJHLr58BBDy42ZCQZXcWiHoMaDBDd5sWNdPv0Vc3GptlqJKEta4YWpvMDjBkWhfTpHGN8O5Y8WBjWNZWQSM1GuxnVZ9CN3mG0AfkMeCUuEE3qu0Mr+g5q39SrnvyMgzF6d2ZW4EeIWwVQLIxfT1rstMUqT6L0lxsK+Ccd9OOsSFsMbF832RU7TwNgoxGvQz97NXqTBaG1pQ4k0zOU7RvQo3jujGC73g+RzXbqldLNtcxfu/cbP96NVDU7sEQirt8r5HWDWcwdYqyJVLjfjhKIAbDtpBsQw4QQrX+h1SDqfRClsM/RKox/oBQClKKudmFSlSlhRlVM54vXQle8ZdgtO6iSsRE4frI6Hsjdv2pgX58/s9yfCsCfW/K6bgSs3I4TMzztZWwISJijSzFrLqMR6/bUJXItAkEzdOe3kwR0ihbtgiamyDoBe+0lIK2Mw6/LMum8TzoU9vCkoaETozZ+fJ906g4C1m56JKL9ohDLiLDlLuRUkN1okarOGor9NqBYKtSzHYwuCb+ELqy9Ts0rV2haujiCFxdRY6PK0Eqz1+8YDkV3n//fZTKJz/5Ee9+5zv8yvf/BD/4we/y+PjI/W//Fk3h4XiCL295fFy5uu4sizLvd4hcUWvl+HiyDeP6hsP+mlYr+93BvDCPR473R7p05t3Esix88cXnfPjRHyCGRFd7cG5unnNztefu9p67uztevXyXu9MjLz96wbvvvSIut/zD2y+Z6gqnr0M3lwyLJ2qWPfg4eSAnM9nQkDwQC6RMyBOERBej3LbR54nZYJcOITY0KIWOptmpm9YY72IbQ22CrmN4b/XqLVx4AwQEu6cxTGbvqI2sEQmVrhMxQHbWj0lWO82yB+dnDwE38y6vtbMulVq6QT69UUqj12qSA9XmCCJCDhOEmaaBShhNL6imGaO1YR6oivVOsvUgUHd06/QCWjqhg7ZkVUONNDIShBjt3Vpq1OVkbk/OsCnNjECBJ4nPZd9t3MsB3fy0vsR4FkNOTkE96/LXdsnYYYP9BqFBHRoxvLvRMDOg7puWyU/boFbM5rYVUrJqRJVOJcQJDR16QZKSJnuPthyhNXtu1oWdTyK3pgYL9g4x0SSRaiV3e+0imZCimbOoWOavzTZbgS6dqJ05FmrrPiFsFVZEKfW0zR+01jgeT//MQR6+JYFeMbzRzD8cpxw46vYzceMTm+JeQsPgGEcQ433rW7jH6kNCl4G+tYb0gg5edl1M474u9rn3CMJFRj6MAYCNcXHWuBeQ6IN1TvEMNpBrOjNh8wPNjt+PrEfpVK0oAZGvB7on12pkLRf/r+VIDMLzF9fcfrlyPD3y8uVL7u6/AizzXZaF6o2dpudZgjEzcDqdTI5V4OHhwctby7b380wKNsgx76+YmhmtExKn04nbu3tKXdlfX5Gnnb1ns40qJ+sZmNyDKYm+fPnSYQxr8u53B9rr0xYgLrO4Nz8/3wBjMuhoOnJuzl4eo5E/mouDESMqZ/tAFTeiDj7VKOeA1M9YujDWpmyVE/61RnOLQrumYQS3fq5GtkpN9Cx3obpBNPYxft7ft9k5DBqxNpvU7M2YYmbUYwycYIX/ln2ipqvTmvO1rRh2BUwXC3PbTntP7w81d1rqFvibuppBx+VJbKi8+Xk2VdJgyWAJiLmA9g0qsWdYqRdEhPExAvzl0dy05E2XtTefjfNmMaQlLpQlL3/GOfhWPbsY2EabdqjG40qQRA+ulks0OQo5r7VxL+0+20Y6qJdSKhWQmC2zl0pAqYj97aPaUAhBN1OjRkOaD1baQrNGbGtPAv2bU7jf9PhWBHqAVk1kbAkVCYUYJ0LoVja6MbSVSqAq1kjB6GrjDw+itF5Qb5b0i6bMNvDgN76UQtCyWXKdTifLsi+w+RBseENSZt5lcpqZ5pkUM3maiGly5ULD6NU1qkOEKSdvvKTNtKIsR6s0nD6aUiHU4Ry0ujiSMQ6sKjatFBNQ8pH14BmrWhURgN1BKQV+6//8x9zsv0uMkefPn7O7nnn5wUsejid+94c/5PbujlJXaxDOZrG31oXaG7V3pm5OQadHY/OcliPLeqKWhZubG5KPkddubJWq5pKU9zuupmdcXR9YlgVtSitGRQM4HVeurvcmGZ1nBMv2Hh4eeO+99/jygw/40eefbNoywy/1koV1KeAFUAQQk7cobmOovZPV9eW3lCk6t9zw5hgxBo7gzAaTi86YAJhGg4Ek+HAQLi6mBp1oHVovYZsybhQQofSFREZTQnXxNZkRzIx8zD0E564bDi9bwK21U6tpO5XSKGujuMFGK6tBZ47d1ybEJGgTSgWCa8g3hyeqB3upxNAgdqSZsqttUo1OIASP2oyNaajAVlqznkHrJvrW2zDlcRc0Ak3rFmDHcclw+xoW7xg9Fx+b0qNv1FYlODQXzIHL1GrPQXx77S15E690AyHE8+bqdNRWGzlEVDMxdP+54D0IM5ZJSU1WueKVHEhsFrC7iwcKVE+OBn+/SzCRMgk0EqElWoOQEy1FqAYpnroiIVnjXwR7nF1COxQT3BOThQjNSjt105Leqw/z1ScB/5se35pAD7i+jdK7IGKTYKZF4YoQnkGIwaZ+0xMxVl8knd4jg6WwceRHc98XxcC6IucLNz5GxjaCTIyRNE1m4pEiKQdSSBfDUheuVVtz1jrvKQghRlL04ZBBl/Tx+NYD4o5INKHpumWHT8rdi6xlHJeZ7vF0JMWZ+4db9vl9Hk8PXD+/4tmrZ1w/v+Jv/Z2/zboUwmzwlaToRtl9yxb6SNnUHG66Bt80lWXJTNNECSbra7CaVS37/Z6YDpuU9MjAOnBcjtACrdhiPR6P7Pd7Xr58ySe3n8Cp8fxm2gTWNuz8jd7H26hzRW1CNYnpmkcwOCs41VB1Mxcfedsw03bNSWNreSYaRKnaLHjrMKGoFtDEgr6o+jQ1BtONCqJ1LPV1/NwfSCFQQiFQ0EsjDj0Lkg2Ti+1fNYmH3oyrXUuntuo+AtbDGVehqdK1k7rR8lI328uRyW6aMn4thjb/0JoX85KyAZ6g7ialG73P7mM49xDs7vgzdda1sV7T2yvPn3b8tIbsm1+7ZJi82eR9+hoj0PMkXjCCoQwxME8iVD22WKUaScTe3PUqEHoyum50s/hunq4isqnCGjWymc9BcI9n/zyE5pvh6snbJasqEZNPEFtkoKkbyYjSg/i96t6st3miN1k3v+8kECzLyRvWbV+zsmnIv6IWNBFbyEEDuE+lyPjDq5VZaiwNB7c3YaPu2fpg5URdt4y+1kpvlVpWdrudWcPtdszzTNpfm0l2TIQ4W6M47olp77Q2qyxqMNplDpHdfnJFOi8qh2/t3Oin6himSTV0bUQSpZrRcfEAa65aPuThwx6tupgaCi7wdLieWY6VQOfHn3zMz//CH+Hly5fsr/aUsvDRRx9xe3vPZ69/Yro8Sdhd7aFXcvSGm9imU9vK7e1rUjK9oBACdVk5nR6Z55mbm+dbgJ+vrwyPPt6xrqubNHdOx4UUTGtIW+AXf/EXfML2iOoXPHv3+QanHI9HqwI6VH06uzA0VS4dgkY2V4OQU0RyJs+TZUo5k8O50gm900tzXXNrZp95V8GCZ8eaorWgpdDLwlpOhLZuD1ij+YCeuS+J92AYsMPwDmiBKIudd3ukp2ZVRTMqrFZn6gTdxLC02cZZ+8Jysms4mBVDa6nWRlDvG/VosIgaO0dQ+35SE6gbm6E6vbBjDdnWqEuhiYnNSbIA3qqxftpaKcuJWk60dTXD8N5pa6X1Zj6mtdJLMVrqBiWZZMX+3Bq3jw1PG1/DoKRRmXEZpEelfhYKRNLGhhvJ2Kj4xqGqZ7aPmuWI+OslbPPRFDzpe7oJayguS4A1zbGKqzZLqIb8B2kiiEsjayf4QGYpxWYyxKCsUBOlK7nZPEfI1hesoRgTTGDtZxP3fTTTmxItycihm2S1KDWGi4z+tGX0vXdO9anr2jc9vhWB3hqL2amUMyHONIwlMbL27h3yKAYXiFPLgnfNuwfHoD6K3upWhg5lOPzhMuZJ5Xa53zaF7jSt6Wrm6uaaXTZseb/fs9u9MJqXREKaXBlxoknwBosZYecpcThkM4sOppedRImh2zkIQIRnN6x1bEgHij/Utw/3toAWoXTD/3COcyve/HGqaFczdQDoas2zjz6Y+fX//W+j4WM+f/jDHG7e4bB7TmpH5OE1P/nid9jt9jy/eUXMe4JE49C3tonB2QZ4opWF2+UeEeG0XHFVrpmWiVU7MWSutfPRsxe01pnCjEyJr+7veVxhLcosK++/9x5ziPzgd36DL778inc++Ii1K38o/xLX169I0kn9kR98/BlrmuB0sh5NbfRWkV4I2tDeiGmmamVpRonLQZl2B0KekN0eUqbNO0rOxCmxIrSupNRZW9kwbBGjFAbMZam5nG7sj6AnTHe8bXBJ6JWZStCFUotv6p2IV0XiMxNAT5ETCyLCbg603jgp1C4gmdwH24NNd6WJbyj15Bo7zYX0ilkfVvsobiAf3XAjSjT4R5TSjc+d4gHaC4gTPU005yZFmhUui/cXWoIw2bNS1fx5l4KsjdSt4mk+dYw2WlkopxPUlb4Wmz6t0FbbxFKdqMHnWILBEucOmVUxYMlJlDMu/2bVehnEkztrdTUa0Lo64yjEJz/XZAK1hqagZEz6O2SjI9dmxjBRZ1pNEIxiXHoxXwAFeqCJVS8z2QUEmxmq9EarK1OYiEGJCuuy8hAFOa3E2MjaCTUwSUfEWUA10WIE2bkFJEzhaRUkIlT30yX4zI4IqzZPVJRei29QFt8eL2i9T3pWP+P4dgR6cdLJZYl+8bmImziLZfrigV4upgthyIh9vfm1WYP1S6rSpW8kG0xz2O8twE8z19fX7HY7DrsrJJoGhwbjKq/VJEh775Rmuu6SElNKTMnGmYNAkM4UjJKZxn3xzrxhkY1ULcPfuTXY4Mm2rVH1VDLXT3wrZ6ubTo+ewvF4ZFpOaHigrJ0dlePp8Ukj5zI73uiheNOr2vtU3/yiZ5ijOWa0VrMJbOP6+rUfsNjNlV07SuWTzz/j4f6Rrx6OxHnHs1cv2e8/QqRzWk7nDOXi3n1tifg5pmQldQ1CSibalfMEcdr0xo2aOyA1hzyaMVf6WD8DI+71SXNtu0Z+bS/Pxx6svlUFMjLCLWE9Y6a6DcGMxtm4X8qwpDxnmvUCcz1XNNt9cr2UczXC1stBn6750XS058Gbr36eJrdrw4WqxkqxqqIbpdh8oHCgga4VbU4zHnh6H9COK1CqkRS+ecg5s2suP3+zIXsJV577Vue/d/xMD82UnH39dNy9S8eI2xl6GoExYoyqMxmCTbvnfE4G0akYP1+607t9nTc1lcxLrLzWupE0Ns2jcJZyeBNTH18TEaY0eP5ClDPcRqse6D0m9PP1+n0X6AU2tkrgjH1LiN4488zJB6cEBW+O1QrDCHoc46FtI0D5Q4Y3O40+WalatwW82+3YzzPPnj3jO++8y36/5+rqyrXWDxZggk3DdpdR7hijYSkWEDVl9rsdMQZyCqaHHTpTNO7xlE2zJibZgvnqZenjcmKXMw/HI7cIy7JwvxRQbGJVGz2YJo6KIN0GbsDW/pQTINwcbvjBJ59z/c4v8vr2K07Hz9jHSlvuaVTqapliTmZ512szY+OY6L2SYqRX0+NeV28EOSskZxPImufKvO74ics5I8Zhn9zI4yf393z16Wf89m/9Fv/b//I3Oa5H5v2em3fe5aPvfo/6D/4BP/dzH9BofPLxxyzL0RyyWjM20FbWhy14nvsllklPuwP7qytImbS7hpSRaUfKs1WCeBMWaGWhayV1s3tLMdOb00mKacj0tkDxRrmviRyjDbkYJnI2FBdjapy9fLHs2pMJYqD31bJoSZSwgDQbMBKboxCfnWiG0NLqSm+Lc/IrqoUgjRj6FsBVxa0KgsevaEwbp1uWtRJYacHtBGMky0zQBh6gm4oZmujJmsCl02s3Lng35zLRCmWhPT7A+oCWlX56RHulrXavQl+grfRu5/uNn3UP6OGN7PYykbH/n5M0AMWfmQv1RlWlBWMwdb+uUcz2T1ytEzISZiREkmSiZFIw9zmDuQTETFaiQhf1jD4gEgmabLfsYK5u1qCutWyJ0GAIBYe7njDy4tPgfvl3XlYxKXUT5AuBHJ3l340lJF23a1xJT0gK3/T4VgT6cQTHsreMydL8i2xzpE4+cdh1c4V6s5nzNKsfjayngyjGGbPX302meHhzc8OzZ884HA5cHSzA76c9KWYIgZhMdvhUjbXQameaImAGF3vHtVMwn9EoJgOeh3EwRpypjlXGGH0zgjqvSFeWfITeOdbzefamDGlW64M1huZskESrJqqUs4la5ZypVVnqQl8f0PWEzvlJBnKZIV0uvCeVlYt/DTbSuq5+zisN0+DuAllgdzDNHVXl008/3VQyD4cDEiPX19eEnPjq9tY3deX17Ze2ibWyZW32gLN5xCJOG/Q1IMEgNEkzaTK+vMTsZXncKGzWiNWNbVXBuOCxE5pl+UPUTHtzk+5uGZ8PN0XxYawQGHZxccu8LvRuUDPrxviOXYMFTK2EVowKqcZFV6nbGu+O/dIbXYsTCiqKGfEQ7LyiOL1PjMI4zkmSDRSqN8kjlhSYP64g6hVYt6qAbpCfVg+UVpqi7tIWRNFurlN9PdGXE7UUC/a90tdl24ikN9uw1GdBvuFxmZRt2jb6VI/qbRm+QTdP4Z7uwJBqpEugq83eWPM0IzpZo1WMeRWHMQs2OBd87kXVpsIRocET0258MxUSSqESiKrbxt2r9ZOmeJ4duDzvN6vxyybz+FqtjTyc8NxtSpwGK92qpgD08HSj/KbHtyfQX/zhXSsBM0SIKCGM0ZBzoO6Oq+PZu8kf2MdYRtvicOmBkdEPpokE2TL5Fy9ecDgcePflK16+eMFut2O325l9Xp7OpgXJGq/PJTJ0YUp3DXH85wBEiQhTDsRgdL1hRB1D3/TVRyP4mMyYfJ8ToRvds+jRaIjHo+npN0WSC7xJN81sVTMm0EYS5fr6mo8+tK5+EmGaE/dfPhD0RJaXFtRac2qhZfZ0y+iUZlmO8dpcWuAMfbXWWMtCiMLj8YEQpy2Qz/NMDPDs+sB3P3yfLz//lHJa+P6f+BXSNHFaK9/9+V/g6tkNv/TH/hhrWYhUPv7hDyhlIaEszYJRbTgk4BAqNnySJbBPO9I0oVcvOVzdEHIi5L1R9GbD7Lv3d0zK2a0ogVatAVxqw8U/h/cLTU6me+NSA+Llf04zCJRebKBGTKM8p8Dkqoilds8OK976t6DaoHGyYNQzim1EKZxlczU41CKrQycNxbQIklRq8FH4EGmidDGtdJFE2O3NzCJOkCIaMsbOMIPrSDfKqFo/i9GQFIGlGid+dW11V35srdLagvZCWFfaaYW2osuKUtA6dBIqQQoBRaJujJRwmSTA13j0cB6gusxK3wyCcRsoc4jHIZw3oRvVZlk3EeKE6h7pEyEcCC0Sw0zSmTnaXEgIiaQJmlWIKsbsC95ALtJteFqxhEITrYwZHUu4WnfX5gvRtgHB7KfZh9g8q4+DbXM2zOnarYc4GsOqnFypVkTIblE5BBHt/jnEms8Vw5Bi+SbHtyPQq8kUmzOeNeJ670zhgLojumTbXcvqk2G90mtBtW4TrjYmbprX26bRbXHXWonhvMPaRKtw2O22AH84HHjn1SuePXvGbrfjem8Z/WHOW+Otu654DJnh8TzUKEOYDdOEDVbJblCSxoSgdGLoZPdQs5HqSI5Cr6vpX1zvCUF51gOPJ1N81GWxAZVmnpnWlLKHtrfijj2NHCNX1we6T0Dur/f0eqAX4yuPjaWEYjhmt0nPaZpI2XoOy8m+lqJl58V/Z55nW7h0Y4ekif1uZrfbbQwMVHn+7Bm/+qu/apPGp4Vpd0CBGiMvXr7k6vpADJWvPv0R9w+3hHoiaeG4rPba6nBCt1xZotmD5DxzePbcNqCbl9xcP3fFygkJ5g4UYjalwD6ouspxWYyq6NpA0sX0Y7AJRICerRHaerPSPRpFlmnC0JQZDQmpCykKyQfhQJlydEOOBlIsmAtAIUi2SpJiFZ0YrS56OrKqCWehjaAF1MgDEjt9rUTpaIResEol26RvD4k07eghItMeiYkWsktjAI61a62ICiLlrMTYFB2wXNPNKL1rd6lck35OOUK1npT2iharWLR3olSIZj8ZU6A6o+hyEvbSiWpAb+PZG5OzA/a4/L6I0Gpx+HbIIzg//yIz7r3Tq0tFhwC6RzkQ4p7WMyKRJAcmZmbppDARJfiwkoV3s9a0DSmnyEOHHJNDvKslUfZwQ3Of4tENdIxdRy/L72nw5z6lRPLXetIz7N1ko3vk2BvrWiCwQaXF/SZExCZIMfrr6J8NDaB0sen9rOPbEejByujg3NDQfCcceg/GUdaLqdcxMQajJLbx4TdLpa1BdXGMTGKe82Y5OD5GJn+YdxvNMqfhYhMcPvDdVMMW7AFaOy/MUZ3GGLcgb+p5kSQC6ZzFjJ+LvjhysH9j7OQYWcJ5ATXp7oRlQXDD8vCm2IATxDxsRIScM10mSrPAtxm1SHzyoMF5+Gw8eOAccrFBn5TSZtM3zzZbYFPDfdMNMvrljmnKLFNmmg5GRZtmrq6uULUx9zxFalnIvbK2xQckjCpnrMBRnkNMiZgzu/lg0sP7PbvNItACvUT7QIUqpgbY5f+m7k2DbsvOu77fs9bawxne6Y59b/ftudut1tiybMnxPBS2kYlDiPBAUUBRIQQoUgkfwheKVKVS4SOhqIrxB7ChCODCCU4CWIAHYTxKSEiypG4NrR5u9x267/BO55y991rryYdn7XPOvd1gQalS1ql6+9779jucs89eaz3P//kPAqFicAmJsYRUJ2MAqnkXGRJoh6a9r8GgllTyZiXjhooMVOrxYhmnoyZXS1hLLswPJ5vB4QgHKZZVIGs6oL3vTsr7KBZgYrVrwWXZvj9MCex8sIre1WgVUBfAF2Mz7yGYr082PimIX/P9i67crCN8EZS5ZP/OAi4X+MJDtJQpfKGRuoALGZ8r4qhGcFoqdgh+tCrYghRGvygR26DLwb1ND9xeA9uVftu2tiGWg3hMdYt5s2E65ywSEY+WZC3VCqXCaYXikSIsFBxBDMO3nN7SHagr5nBCEkMQxsZh7RaKw2m2Db8UdSaiG+cH5b107p51XIdg79v6tW7phMikpFTBnERj3nQHY+6xSPHiGRPpVM0oMY/i0W+wYazdf2oQS+xJSQklnDrnClIJBBlyYZgYVBNjh0NtkJVzUfOlQj28l29qG5usK4q6rpi1Nfs7hsfvzOdMp1Pm8zk70xlN0zCfTq2dwpSi1opxz8YIW21n3rShY/u6VnVufX3lMr60bDFnfHnT2tayWvtkA71pFsRlhrhi1VllLThUUsEcys5hVlYIig+eSoxfnrNAEtrpHFLFydES1UzserKPZs6GW8M5ihg7ZUzYKUrOEAJVHbYqNMuqTSiroWe1WNCvVhzfucvBwUE5pDzLruPN27c4Oe1o6pbzD17meLFglQaCdFw+f8Ddu3fYm3hSf0qSKYLZT8dcqqes4DyT6Q51O2F3f5+qbsiTHebzmS2qqi3Ps1prLtbMpSR0Vc2QE6erFTEr3QBJo8VMOgVXcPdg2yzFmjdLCz4hqQKUnHqmnZR6LhqSL1IOQvs5Wex9EHX4wgaREkvovQ1TnW4ShkQqg2sk26akrEO2LYCmkBObGieOWLXmVeMbtJkVZ8nWWGEukENts0PxlsJW5ixmTVBsfp1CU9saccb1j1nNtgLbkHLw5ORJCikNUAkSe0IF9B5JDodZCo/xjfeIB7fWxj0YvGz+/1hM3K+RsMN2I1wsX2yVfolaXA8y0wRPi6PFMyO4OSKtQTTiqF1N5WoqoJbGgkqcEIJpRlSSHfIoQTMdpaDUvNYP+KwGnebik6PmmpsL6yk4U7A752gqKx5nkwmVD3agbF2H8e+rVeEBRIdTT7dK6yUdx+xi59Zq+dEYr0qba/QNq4yFcdPceC+b1HzbIyRuPLlHQcs9tLi0JkKMP+/+Qe24eY3BHWOIeF3X1D4U18awPp1xAV9X90y7RWTjEcJGDTregOvDoPCK3dZG7/zI97ehj2KOgs4LUlnL7KPZJ8ToLSHHjcNjq+N1rBzLIWlqx+IR5IoXj451nEN1bI3tOeScyZKpK9u8h2HABGqyTkIar1Vd1TTtaDcRydm+rh8GnAjDYsny9JTj42P61QqAk8WCk8WCW3dumxLYV5wOPZPZjCzKwW7NMBS8N1vFliPm2Z83B3XOmVBXJoaqKnywtrWeTJmWg7iuR3hB1ptAclJaZIe6iCSlC4ZTJ7W5CtGtWR11cBtfGylz0BCQXNnQrgqoE+rYF7HThm4phQ0lMiJ2upbu+DXp1w4gKe6lRhfOZZhrFFqPUfic2k/wIiDeNh7nEG9+8DkEXKhJVTBGWmWzEvGVVfiA4ssmLzg/3rcja826EGIGtTmTOLuXcrFmMMRAiSGVDa2xzVZ7nEaci7iUcE7X62S9Xu5Zy9w7eJRNRb9dCG0fEtahFwhn7ED7ZO+zt/U+Wok3UhUNTlXswmvz0Ndx8y2zNbU1N3bDkikK4vLWqM2FgpjxGKpIymt1qqZcLJ11My/YWiPbhV1wzjoHVywmtq7FeD3ut/m4/7Az9W02lo/qek+LYtRWm6V9o20I/NZZAAAgAElEQVT0asNVVS2ydMgMhSJlSYzeZ7IOmwuWTd3qUHKKkCOphEknNVHUSK8cOajjoCiEUDZ4E0XNZzMmk8m6ot+dz9cwjvce9RPqqmJTXMi6PV93CwqdLjf0O2fqyaraVJnjc3d+Y7jkyptmQ8VAJVDVNVmVauipoiPU5nVfAX22g9CJLVZXKlEtDAjbIBxa7FCrUOMk0+dIWxtnQICh64gMSLOJJstNWRQlt7NuW7wvrb7bfJ2qslwuSHEBwPWrr/Hm9evcffPWWjqPd1RNw4XLl0gxcHp6yo0bN/BVRSJz/rl3cPPmTaqqYtUtmDQ2jxBVEwuVDV9Vqb2nmUyoW8uerdsW31S0tW36TbXhzTuxQ2jcTLpOkFVHnxPRmVcL9UBcyL0JYpLLYSyEbIcofUC84rKJZVKKtPTWOcZsVEi8LcgAqDCobZSuMIDEFXvksT7fthNQZ8PEchArYNmnwda1rw2a00wMHg0e107QUEMzJfop2VX4agLO9AOxGHaZ1sSOm1FXEHy1Dt/JYhto6iM+UfjxNutJcUVOA2lYoXg0VUjyeK3wleAmDa6vcfEUL9AEs2oei6XxvRiZWqOyte97oroiWLRNbsSb10aA4/NLtnatm/c0rTHG+sVyremo6xpZNXjX4lyL91O8TAiuMkGbY1201YVeKdhGSbLuTYrtRyYhORGCQXKpDK4lJhgiaUhmDVK675hNT6Ej1750J9vQpnOO+m122JwzwQmprsyaOW8Cx00lvZVDO1b0BUkIBXIMIXx9K3oR+dvAjwA3VfVd5XNngH8EPAq8BPxRVb0jVuL8b8AfBBbAn1TVT/5evyNrZjWcWEUgZhpmySoRzSVZyQW7hWWs0gecL1zvaDdOHFamLIzdxsMmD+tTUdXGJZUI2dnGOt5g86ZlXtXM64ZJ01h1X9dFzmw2reZVsm2YVMygxDPkhFabi+/XSVDmx7Itv++zI0sRdBR1o6VFTday95wiM++QKrCqzE7B0rfy+pqFcih2zq6Fc0Z1EyqC60kp004OWBwtqaoZXTxFqpLmlO1QPBmM6ti2LX0cW/sKnz3TaorXsviSHZDaKX0cmDIln9qio1siQ8/i7i0eOH+eruuYtRPUJW698hUeXQRWx4d85vgmPHSJk7PK+/ffw2d/83c4vHNC7TLdSlmmSFKlyx2JRKoSiJKmE3bmgm891VRoasVPpjQTq+h9MO+hdSflDDqxN8KzIyZZd1lJGWrv0BqGGFmWAI+EcWHV2aAVFF/1VKsKlyI+1dbmV5mkC9IwYHrtRI2psSt1NNkCLFrxqDPK3+DNEz87ARdGMGZcYOSsRsdVk/h3WYhRqVzDkECc0E2nEDxuOkerBl+3ZN+C82jVWpvvAym347q1+0S2wnC2qsdaGzLQD5kUjWZZiVhq1HIBMuBzy3x6hxRbYg+aa6pQESQRukAYIGik8omBPaq6pq0bvLfBpKpSlQyHGCMnJyccdivmk3ZtfbE/3WcYBmoXmM/mdF1HXVW8tHA8/uSzPPXYN3P27GWeeuIdOJTl8jV+++O/wj/8h3+D/Vkg5wnip3iZ4t2cwAyvNZV4AkLQgMtCnkSiU7w4KvVoFwmhJhJRSQzSExlozCmc3mVWkuhzR6+RrqyXOFi13wYMtgmBSkyR2ziYevtonTG0Buo1FXfMnQVjcXUDVPOWXhK7Czg8Whp1dlD6mEh5hLuUEAAv9MXNKKsYRfhrfHwtFf3PAH8T+Ltbn/vLwC+p6l8Tkb9c/v0/Aj8MPFU+Pgj87+XP3/Mx0pOCbqh8eLduk8aBDpQ2KG9MyN52APs2w57xMd7097ec4yl8Dzxzf2u1vUjve6x/lzru/zL73tKWOjbZnFst3/0t3Br+kbe2f2ZjuCU6YfPz0HvpauPvHqvybQbAONQZOx0RwQdzyswxlQFi8RcfISo1m4KE3egXL13izN4+F84crG0nLl2+yHw+Zzaf8572PP/2+c/z0m/+CmcfeYS2bshDZHF0DJoQcXTdioaA2eZKCWw2mf9cA3MqpuqZEai1IkpYV45jRai6aYVHpW4IHh8Gch4NqsyvJogje4/TXAak9rY5Me8anNghV5K/XLBgiO1MVt5mnW3M9soPLfdZdh7xYY0dG+Jmdh6aLO/AqcFs5qpoUNDorSLlQJMQyN4TfXluzqMjPu79JhhlXblvIvjuuceS3TPel3VVC370dA+BrIoPGc0V4hMu1GgacFrhxYbjTgOeQgbCbCmcy3hxxXZESIOpa1WVSVNRzyfcuHGDc+cugAq37tzh4OAsOSnHq4RzNWfOXOC7PvBu3vnsN7M3f4ijoxWf+9zvsn+wx85O5NFHH+PgzDmqqqNb3mdrTVnX4+DVmZulIxbIbPOmuaLZiQUqcmVOmMexV073rBUbsG8lZI1/ymaN37PexeIkR73F2E1tz/DG5ziuVQXGmNGULJycco3XA+j10PbrOIxV1X8tIo/e9+kfBb6n/P1ngV/FNvofBf6u2i7zWyKyLyKXVPXaf+h35JwZ+p7sPSKeoLrm/2YxkYumxLAlMNBkVa9IacHzxnI4RWuxdM2HNtaBg6I889TFtGvE6MePsZIfMWHxps4dq6Jx6r5Ru9sGo6oWBqEjtFKCQvzmRhxx+tEHRAuubrdfJmV7O+q6IueErx1VcoTgcN4wOyfmnufEgSsGb95GdlaJBlQDvTO8d8SwKydMmmptEtV13T03zkjtCiEgyWh+Qy+kLcrcGOvmnGMl5q44WiLX+/vs7e8ybVtijOtr5+qa6zlz8Zl38JHHr3D+0Su8fONlXvjE73Djqy8ShhXmTdQzFIzcqyAuMBGrfmcyp5YZjimRGU7qAkXY+9TUzQbz3KIW20DLKGrep2KtnEkhM3iHzwmNozW0iefEUToCY7pUzhEKVptCJPQVOXnUOcPlkTJnKd2emKe/Gu+QajqBdlaSriYWdyeeqqzRrAOaEi4N6Gphc4oqbIIwKFDjdAJVwM2maKhJoUarCUkcLlhlj3PU0q4PZ9gc0vdvQqxshiPBUwVB1RP7AalM5CZ1RIeIRPBpQH1HzhGvK4RIqJU6ZkgDXgfmPuK9UlWWEjcWFaE2AaGZ2mUmO1Mi54gqFujS7nPu4Wf4nu//MA88+ChDzLz8ylUWJws+87kXuX79EwydMbqaOnDmoOHypbMIu8VaOOBchZdQkABP8BVBQoFuPCE4graEAmsGBtMBaMblAe8iSXvQwWaAlFyA1BnlNXV2nySDdwSDo1yBCHmb6zsWkqGsfy9CcDYgX1thUAwWg4kxo2ZiSnQxEWOmi2a57sREbuK0QNhxDUl9rY//VIz+4rh5q+o1EblQPv8g8OrW110tn/sPbvSwqehzGkhikSNZbDdNlJuzwCJSTPg3Vq/DW6yG72fdjI/tN2Gb9/t2g6HtysyqYr+uFO1nbk5X+13rpsMGe+6tv3vdnXDvEGfz+7e6jWCe41KBBIdXV0QXhi+6wm0zTjCIN8jC6fgaQNZ8XkdVsm3rut6KQpP1a1gzIxgrinttULefa84ZX9wET1cG4cR+4PT01Kq32YzpdMre7g6kGRcuXmCngVw73njjKp/94pdIqyU1Nk+p28DRcoS9KANni0zs1bPUQCxh2RWBg/ueFxQe9xarA4EkY8C7roemlReaOkByRCk0zuzJ4yEhdlBLVFwo92XwqGbrMguFUUoSFZh1V5TiiwJk5/DB46sGrSuymHJ3hCEpXZaoICEhA2g0Kqf3NblS02QISBVsk69q+3sIRShlUn8N3g4aFwjO33tN2BIvjfet6rquHV1icQ51pjONVY0mj0X6tGSpSMmKCxMzCuJrkMaq9qTUVcLJqAhXxAuVNGVe4RDvmajwxtEhBwdnuX7rmP2z5/jJH/1xHn/iWW4frfjsF1+l6yPXbt7i9isvcXx6St8bVn9ydBcncHxSc+f2dTQ7XK6tWpdxLRfLgtHfpvjTo4LXgMcRRIp6GNCEk0hWs5J2DKUoLHRtyThJkIvGAS25VZvq++2Qg3sIGRjLajQ2c9ia1CzkbPMTI3wYMSCN+4mO9Ml7PW1SiqW63/jufC2Pr/cw9u16ibd9NiLyZ4A/A1j1pxky5EKLyzHgq7weYubo1/iWqq5FVTYkKxt8qeRTwezHm3pNqywna10GeNuc15Fls/75W2o354JZBRfOtRYCzJrCF0uWo274r6N96j2WA+MbVrJvN4PAsZUrXNwguAihdvjsqZuKZhKgxtwDVVHcmp8fs21w3oGoJdGrmnrPq5rnSRXo+yUJpZlOCIVeN27MOUaGnBhyIuRi/5x1Pbi25+kIVUVwntoHDvsllfMsVwuCeKZVzcnJiS3M12+Ac8xfucrBA0/C669zcGbO/s6ES9MZv3PjGpI6qtbR9T0pJ6bFRz7koupNgsvCjnqm6nDZUStUuiXOKYtayqE7+qSPD1fkLcZ9N5pjLZ7kHZKU7EwnEFWIY5VlbGVS8DjfWPJPPxiPPQSkiHR8NuZUcIaZWmVXIuqaBqoWmbRo06LioWotWassbBSCswAYnxOx8uShh+CQoSOtFiCKaxqkbXBNjZ/tkILx512YkMUUseJtw1bs8JVC4XSApmLElvN6cxIxeE5KHqy6GtcWcU9VFdZbhFVt8YUuoKnHq+A1UjlHlR2aOlK/sFkDjkEClrlb0w8RJdDWM+q6ZrZXM3Ut3/Fd382DDz/O0fEpv/6bn+QrLx/y2rXbXH/jDienCxbLnsWbr5FzT8yrYsmwYGc+o9I5x2/2nJkfELtIlhrvG7zUeKkJroFc9AOMA2lPlQMNjoAizkRqZooxIAxk7cmszEMqlVlX6vE547UvG7xtrg6IW5vv2ltrKxhkXNu1N5hQxGid1tkHeleM0HJmqFp8U5Oc0A9Kn5LtMRgCgdiA2JADK4xGJONrffynbvQ3RkhGRC4BN8vnrwJXtr7uIeD1t/sBqvrTwE8DTKdTHU871UIrchEp6tGslAp/A3mYSi6iWji1ei/2/Ha0SngrFer+j7d8330Y/1tmAJl7/g6yqepV14ESm+dx39xgFNe8zXm4xoOdVfROLRlJZQzOKLCBbGLxSpzCenKvBbbKYsq78eYIwRb1yI3f/oipx6nDJyne6SNuXKiErvi7i1ikX4zEFFlhNERRoRuOGbJZvd7Kr+FF2N17nBxNYj+dNCwOT1FX2ZCp75mJNyxThYCj0oCSCAJBMs5lgoCXrfQpv13xbBbfeI0F1mwrR8FJGWcWsvaQGTDMPY+HLt6ocaV7wjskuXsxeu6FSETMJ0WdrOmQ6h3JCVFc2VCdqVh98Ys3BM5goLoy3FhrxAnEjiyKVmFd1WvwUCp5gkFFBtuE4m3z1usxumyaA2YR14lResevt1StYCxyMWFeFKxzQNBUmW221gUSqyBXiJj6ttdYKuiAaMBrSyTy0COP8953P8fO3h5NM8GHfVarFZ9//iqr1YpVl3j5hS+w6gaOjk64desOy66jkYE+LhC3oq5hZ39C4xWvS1IazLxsSAiT8kpHV9sSB1iKgPFjLAYERjMVRpMNC/pLeM2m29BUBJnJPOhl1MIaxdsz6hPGNXPvTGx7DwlOikX5pjDLujXHcZvMjdHLyGR3Gx8fp45Mub6y+R1fV4z+3/P4v4E/Afy18ucvbH3+L4jIP8SGsIe/Fz4PGL0yDuAcAayNzgM5xIJ7FuXgFr1P2AxK8ljBJwtP2FarjhX1/cPOqlDymqZZwziquma9qKoF/pbKZTMwkfUJbgwsC9pIKTHEvBFUUf4MVn3nXNp+sdjiUZRhVLMxEWszfBnj5iQIUqhkEcXlUA5EG/SICFWuTLjiEmSPk5qJTjjtO0JdEbtYwsitHQxVtb6Os/nc3DMXizV/2JcKPqktYi1wj8ZIqE2QoyLs7u7a6wr281If6VZmAXD5ysOEuqGdTnnDT5jVDRcfOM+DZ3b55z/3M5yuTshBOeo72klDWmZelVNiTFw8f5mTk1Oy9uzunmVxUBMqw4gPQovqgufqs6TcE3CoRGIS6qpBlbVdw+1bd9mbBPJgWLzBLA6XMx5HLUIvNp4L4nEuF7FR0Wwks2FAzeZCxVhQGrdYLGPHJqZuzMU1UpsWmpbUNDCZEXwgVy3qPC5Ua0aWUJwlY2ewTW7ItUPjQNt4YhoYVKFuoKrQUEFlMZbRNXaoS1VSjQJaco5DCV+pFMRbRe9CUZTHxFLH15XW8JO1hKajyJrIvYPskNgzdCdMm5aJKLlTJm1Ff2zMrvnOeZ584mm+/du/k/MXHqDrOo6OFibCUsfJ6Yqbp6d88d99icVxxWq54Pq1V/Eu8/rVF1kuj2l9putP0JTYqwJ7Fy8wm+8xnwtOB7rFbciZ4cTYaNolqkZIsUakxlFZ0LoKguJ9TfC2pTsCZEdOWGWuCcSM2VR7yD05rUi5t8Jx5K+nZFCJWlEpGGuHnNZrJedMVW9CUtaBLONmbIM6RDNSqL+u5BE7HxiWvWXJhikuTJCiro+jE4AqYIEzUGig64L361jRi8g/wAav50TkKvBXsQ3+50TkTwOvAB8pX/7PMGrllzF65Z/6Wp6EjlgI2KaN8W+DczbFd5W1MOMwUDIxytrjpiSKb3ilaSt9XoufiRZFImY4VPt7+a7j5t33PbIsTI5hQLwnrTf6LdZKUuJg84Cu68obLOsqM0cL89DKk9UVPr4t7hQ2XUcsh1TWkg2a7cM2j2BmRt7jQ0WVlTqLRSTit16jw4ul96AeR0XjJ1QL27jGOLSdnR27xjmvYaftqh5sOBTTYH/HKpoYM10206UuW3JOcso8eContLNZ4So3jPYF+BpfVUx397h87jwMPftTR1sJr157hbu5wzWOtg4MCR598DE+sNeg4vjCiy/TDIF65wzTZodHLz/Ch775A+zu7LDXNqSU+Pjzz3N82rO7u4vzu8Qh0w8rJu2M1WpJzon5zpS8WKEDWLJEqexyYb3gLLFJhVCqNAHE/IWN977lQa5qlTClk5Fh04Vm1NKDqgoJnlQFtK5wzYQ8adHQ4KoGnCOFmhF79XkAMnmwgz3lSJaM1xrfOFLf4XKmbhsIxfYgWPIRYjYHzgXbRHxFKEZrwepYgkLISlCQZIUAOTMMNu+ROFamES+1qXsrT40nuYzPGXWOcxcOCLEjHR1zsDPD9ad88Ju/jYcfuswjV67w0utHfPqF6/DCDYPujhfs7++z6gd+6V/9Ml3X2RD/NDCkFU1Qlt0JQmRwmZPlHR57/DKXL13ggUsXWGoJY+mOiN0SpUf7AepIxGYqILjTIhrDIxoMj3e1aQdE1rqKlE0klyWh2iN+IA4d6nrbbwokG1Okz9lgzCHSp1hSuDKWM2vdj+ZNtz8WnMMw0Pc9Q1VtDM9cNp2EK3oUcQYYpUw0LzlTtviWqtkh+5ZuWKD9UKIJIxYGP6aZ5a3e/+uI0avqT/x7/tf3v83XKvDnv+bfvvlOUoxmJFUgFO89bdOscxuryqqWcXjovScN5d+jZBg7BNbOgPcNSeCtdMbx69Y4m2wlz2MUOHGmABwjC3MqxkSDnd5WlUOKBnW47DZzAcea71pM6bZO/C0FqOZNvNwamjLuvBR/DiceZcBG1cD6/1mkmUENNsQcAzqsPTS6W5ANNLX92kf2zbjhp7gFdbF5zqlsdDFnwmpFHcymoq1aO0Crqtgpm+e5E5t/4Ozw259PcbmnnjQ8dPlRjlcLUkpc3D/DH/6hP8Qz7ZTf/vgn2J9cZPfCBX7hX/0qS+2gg9e++FVeWSx59tFHeeLxx/i+7/sePvaxj/Hq1Vc4e+Yc586eN0ZSStRNhSAcHt5lTxp7v1IBPcFMvaQoVlVKWLaaxF0Kc3UUxOVCg8xYlOP2MrsP5huhLBcC0ZsHTS7wDc6h3hefGreGIQ1YcGuBnTozn1MUyRUSslkN+zFQWtbkBKO8WsdHWTdZRpgT3kKzLWI2jw35XXYl7LuIrp3NMqQorp1zDMl855XMyekxl/d2Ob8759GLz/Kep58iOMcrX73KzaPErdtHNE3L3bt3iV3P+XMX+MLnX+DNmzeZzWacOXeOZZW5fv02ONjZ3+ELX3yR6bzh4Scf4x3f+h52duYMsYe4RHtwLlOHCpc9i5MTNHSkFBkEoijmY+MLdGMdCJhK2qiKmZw8GbMbgYS6iJdowSo5k8dwGpUyZ5P1rEezWX2kckFduWecc/fAuuM8bh1LmkfFviP5VCBV1rOzhEU/mrVTgZV8hc8OFwZcEiOZYG6ptq43lOrxPf1aH78vlLGq5qchojT1jMl0SttMaGdTqmAUOhdCaU8LxNKtrJIeek5OTuj7nuXiGM1+TX8aK/yqHCChcFrHIdU242QYBqNiZqvOnHP48nv7YeO5kZOuK3rL84z0fRkgJ78eqMbWfmccHE2y7sFRI07pS8U8MluUMshZu3Ba1KEqJdPUBji4bG6IMg5qyuANNeaN7VCoc2toCmzYHVA0GatAy+aPmqfQqMYbP+8Kfp/L8C5vHXwaI8RIHyN0kToE8sqyZ9tmxf7eAWQTyMSk6N1jducTJsExr2u++Pkv8Bf++79IfXmP06Hnc5/5XZ7/1Gf4W3/7Zzl86GF+8MM/Qtzd47oIl7/9O6knM2LT0k0aDpqaX/y1X+PTv/CPubK4zYc+9CF+8Id+gN2dPe7cOeTXf+03eeLxpxDn6LuO2XxKf6sn9pGUMkPZ63M2jDY70FjsfZz5kWcw62BsVmTte0ajLWBXwlHceH2KuyBl+O6K+Vo1aQlti6trUlWTfYC6slAUv2FzSy4HjCpU5uCackCTkoPHhwYPxGj38hDVnmfO5XAoOPQ4YxIlScH/C6PIJZPw+zKUVQSpDM9fG4NFsaZHQJzZAYhmdncmaBTa1PPUlaf5Ax96P+d25rRDZHl4TOx6zu1f4LA/QvItXvj8F9iZz3nkyhVefvEr/Nvf+g0++P73c+HCBY4P73D7+A1UAvVkwu2TQ378z/wxpvt7VLsz3ji+y+EwEOZzJvEE+imymEM/4PKCturp0xFZFiz6BUs6dl2FmY6V4au4raB1g2uyKD0DkjsGGfC+I2hvQ1kxuqSWA8MJZu6mRaXvrEtQN1imbFZSNo/r7UN0W5die4LFi/YJvJq+QIsRnDpHysKgiahaXKrMalkR6jDDEem0R7Ina1+cUssYZL3Bf4Nt9CJbAgPv7+G311Wz3uh9vQkH7oNVi2mo1hh8igah9Nmgn/VAbgub365kx8c2yyalZEO3siE6KN4e//6NPhYutrVXhTkzgPNm+xqSrOEhJ/feIOOf91eHqrpm8Ww/1iZPujVzsE+s6Vjja97+HkvZkrdck6q0mX2JMQSMPqiKxnudApGNcCOlSL9ame+KOjrnGFYJTQbdSNXi6xoXam6/+SZ5PuWaLvnFj/4z8i/3dHsBP53wkz/2E3znt34bH/07P8c/v3iW03c8STo4w0KEF9+8RWgnnD/Y55Ub1zmIkff8kR9h8sHn2P2n/4Tf+I3f4JOf/CQ/9pGf5Mknn+aXf+lXGIaBp556mk996lPUVUudR0qqOXdmdYa/imxtCFvVvIy4qG4N20a89a3vEfcNxbbvY+89ztsAlkIxtM1jNC0r/xVFUgkTKcVHLB5O5kFzb/e1ZpS9zUPX8JO85bnd/xwp3UDWTcDKWPxsD+a7xYJLFw94x7PPMGkaDg8Pufr6NXbbKU2oiV3PpYsXeenFrzD0PWfOnKFbLrhx7RptHWjrwOnRXa5fe51mR7lwfp/ZwT4f+d4f48bJEW8eHXJncUqYzfHe0Q0DznXWuSYHGONMCfjQg09k15FHKu04Y9BtAeFmOAsl+g8lktZzlXHzvP+6iDpkzYQbxXFW0W+uzWb9bouXtt+j/xAxZJOiNv5yO6BASsFVIOX17y9kiHJUa5mxfK2P3xcbvarStLaxz3cm7O5aUtFs1piXSWMiJsTEI06ENKtIBRPbbSwn9bZkDnPmtDhDx7K5jlDOgNmqJid0OdHGga5fIQ6OugUh2iET1PD1CRQvmlSq6spasQG6PrEYevoY6ZIdLD4n6tpw/8FFanWIrwnZ43KkH8z5rqDY685jKP48qz4Rc2Y1QIzCYpUZEvQ5sMzGDOnKu+sssRZBaFxtNMlmClIRqgkuJ6YB+rTCuz36ITNDidnSjeq2Xg+QIpEhexoqogpBDKDoRUje0SP02WYhoplQIJmVrEA9N4+WQKDSUya3T8xOwUNsPelgxnPnn+TFo2u8OgT+5P/6P3Py5g2+8ruf5+Of+iT/4Fc/yTPfv8urf+In+IHdB/FVha8rdBh4ZGobnr+7og279DFxbelpHniCK3/uL3H+S8/zxvNf4Kf+5l/nfU8+wV/6b/4s/8Nf/Z94+dp7+eAP/UF++d/8G77zTs/v7s45WnXMZIclcEuVZ6uKqut5RTpuLg852DmDZsfQ9Xg806YmnR4xEaEWOO2WrE4X1Hlg6AdiGlimJTH2NJMZEoQYKqpQ4X3NUHdocPTaG4tCKrw6qsrTBsXp0qiTq7KB+AhV8TpXwcWAymAHEJnB2cDbJaPMOk0s4hLxgSEkslZQZ6axSO6z4lTxMUNf0sFK5KW0FZwurVIVY9UMCdQHZjs7vHl4h0Tmne94hvc8fZ686rgymxO6gVc+81kWh8fUOZD3HFXrcH7OzqRnNslcvniGWRv4rV//BDduvMFstscnPvl52rbl3e9+J4vQs4Nw5cFLDHcGLj/wENk1pOEECY7cd0wQRPZJfoU2UlKVBoaTDrdT0bopcZWRznPqMx6oEKqcEQyKiUmLtqBmGAQfHAMGww3l+kmKeFfcK8VgrMFnBspQvnx9hQNf2TqNiiI0GhmdOGvnDXuP0WJF/UDdJ5JLsOrY3ZmYMrpqAMegjoHAUCChnBwSB1rf4jSRfSBqRJ0xo1BHdAVG1kKkKGSOr/Xx+2KjF+doWvMXb9oJddOaQrWxhOfYE3wAACAASURBVKfRXXLkuo884ZQSaRioq4ZJ11kbKw49PrUf3PfrSnX7ZF3zXaMw9L3R71TQYDgdQVCvrLKdpgOCZofQkwZHPyROTjv6wuXPJZmpcZZ1WXlvlKhg1KqmEobil5/VrZ1aR5ZPzJkhxc3fx05hSGvnPK/g1dGUODsBfJaitEuc2d1jsezpiqPgGJ0UY6TxjkocIefi8x/Wlshjm5lLmLWPheqlisRocIdmstTkQmfK4ojOsQR8qEi1LYyqDgRNtE1iFpXd/TmHyxW/8XO/YPGBreef/cz/wbndHf7LP/QjrK7d5fLFh7nSB7qrd5GnLtItlhytlvQ5k51hpnXTQEzUItRZkSHyas7snz3Pu/7AFV564fP82qc/xR9ZnPLH//gf5/kvfZWLruJP/dCH+b/+5Uc5uHIFbt3h9JU3aJLw4FHH/OAcA4lpHLiknjQsuH14jKsC04OzLOIpsckcDkuWiyMW+QQ/hQcPO/puBX3HvG5wdUXGxDorXzZtB6kzf3SbfQ6MqlnLexY0m3HZykebsxT7Aq/CkKoyvKvxZTFPYol0XMdnRnbqluhN7Zmw1DSX7XAYYkJSIg+JaV2bnQXZBGUaER1wPpgoMQN1YDEseePmXR5+6nHe+9xzTHanyNWvEHLmxs2b3HjpFa698CL78zlnds/j2gmNF/ZmU1aLjufe+y389m99guc//yVu3HiDlBJvvPEGu7tznnnmab7ru7+TXCsuJo5PDsELX/jCF1h5RffnRFXUedq6Ia0Gcg7gK7Ml8A5X1bh6QHrFNzWuSfi+QnIJW1Gbc1C8pPw440II0oAUPYE0QF0wesO+tcBWSYJt4JJxDpxP5RqZKj2KRTvqqNsQZShOmE4stD46Iaoy5EwXHcto1z17Y2RldQxZ7fX6GvWCDwOu6gkkQjEntJm94gYK8yetmTb/Mfg8/H7Z6Nm4zG072W0LmcbPb8MVzjm0uMWp6sbGoCvT77iBcMbWahuiycmyVpPPJG/Zmt6VIQ9KKsrcXlwxMHP0vTL0FuadYl77Yztv1Rg5k8VUb06dCbhSQpx1oUpeP98Rg89Z1/7v499z2kAFksEVG9vRFslCCKzVy7nD0aCq7O/u0icYys+JBULe5n+Pg7zt67tardYp9kPxJjH0V8shI0iwcZSIwRL9ckVIFtggXqgqJZ4c06UF6WTF6eFtrl5/g/qRJ3jkmaf59Gf/Lezs8J//xT/H+9/7PtKVB6nOXWD3yoO469d54MxZVl1HvmtUWq0r8I7UD8RVb0zmfkBF6Hcals4xTOdcfvZZrr72Gj//0Y/y4e/5AT545gLHt2+x07Q8+8Pfx+0vvYiLS+bSsSuOlp7Dk9vcGCKvacY1NR967p2Euualr77Crbt3OFme4CRR+8xs3qDR0XXGazfFckD6Hs2RupkUFamY5YKUzNgshao3GE1RqzLQtSGLiDBUm/GaK/CJOocSrJssC7sujC+XsEpPzOHRiaeqHJUPuLoySC8r3imaFE/m5OSuDSLKmumHQD1pEXHEmIgK2QvaBC48cMA73/9uLlzZ4Vf+9cf53oM9PI7Xrl3n9s2b3LzxOt3pHnVoccctTU5M9nbZDQ07O7tcvPAAr716jRs3btCtes5fOMfjjz/Oo489Qt1U9LnDiyW7LaPN19K0JhT6dFaMTqpC0jIIN6YrWQrNtbx+KQN/Cruu3OjrfSUXdbWgZPV4CSAJpEJcjY1ZrUdOokXIqBYehJhzKUIeMvhozD2ndm/K6P0kI8q3nnGpCFHAoYQk9Blj7qdsCXLZMWgiqZDUj9LZtTpZxRmry1eEXIJH/GA2CFsw0P8fPPqv60OcuSdOSmrQaBE8VvLjn7JFAxQ1XHOsSkPONBMLpkji14PEbcXq/RV9v1S6ukOjogOEWrHctkz2QjdYxb7CkZL5TaxWmb4fWC0t7MSLUtdhbRsaS6KMd2bINjih7wWyx6t5y28Ls2KMxJwYSmUdNW/8aFbmP5P6CDHjUqYWf48IC4S9umW1WPLguYv8i4/9Dl95+So/+CP/FTlLqfSUGG12sb5+g22YxooxS+HQ96YS7W0gPeoA1ZuoA3TNZgAhNOY3MnNLaga6V77May88T+x7pNnlZBm58i3/GZf+659kiJGL3/E+Lj/yEJ+YTvliXOLf9066wbxEFmd2eGJxSuMcF3fmrOLAqpiUHVx+gO7oGK8wrWqGvqcjMEx2eOV4wft+9A/zru/+bj7/sY/x87/+awynK1774pfpFive+/ijfN+3fSvveu5Z5n/y3Wha8ff+l7/OB//oj/Luhx/nU//yN/AnHRe+611In3jwA0/zwGSKLlfc+tKX+M1//otI1xGHyHK5YuEziQHtO2otNFfxiDNaZXRa1r6lkcW8JCUQt0TTQKIm09JIjSD0ORtBgOI0mcVyicv960sAR5Ntg48Uem2GwYP3gvOKuown0Zc4x5wGJGWSRqNtih0YQxo4Wh4ziROqpqXa2WE6nbP3wIM8/dy7mOzUvHjtDT754ot87rUv8uyb+/SLU+5cf53rV1/jjZuvc3x4iz71XEg909UuvVfO1zt0B4lvfv+38tSTz3Du7EUuXbrEgw89QB9Xpk+JHbFbUTcVxMSdW7eYz+fEScNQ1fSxA++IfSRkC2NPaorfJKZjyN5Zfu5o2+wKjj9KLsW49LmErZj+wai1SsB7Ibg5LkRUAlESic5YWE432LlTnCRCVBTzw8ElEj0uKTkXSE5t43dleF8XzCekyDAAVYP0SiZRS8QlAfEso7F7Eo5BPFrVliuAGe058QQ1DYvtF5E8xLXm5huyorehUPV7fmznL5Iz6tWMy8TaYu8qgq/vqVTXQRRpy6NiveHr2tva+QQlV9Qm5MXxIitRMv2gaFaWQ6QfzHjIclqFkIwvm6WECohVbNk+sT6F7x+m3UPrHD16timXKdlgMOcyGGVNqUsFRxT1DKsFmhJnD87xyksvcXRkSUpp7BjK68666XBsKOmIyZJ0LGUnGZ8/G5UyYtW6qok4xL65DOlScWFU6mGgjqecXH2dsw78bMIryw7aloff/15OnYfac/GxR6h3d9Cm5vWTYx555BG6N29xenrC/s4+06pGnTB0CUmZypk3e+56g56KyVjOii46ds5OkFRzkhPULe/73u9jPyszH/jo//lP+Ne/+qvcuPoav/VLv4JcOsMTO46Qla9ee5nDz36CJ3cnHDz3TTw03eeLt17iwnwHnxz9YuBM1fDo00/wnukfJp6ckk+OISb+xZc/wfWXX+HV4yOQisoHsx4TRxRPHjuuUiGa+rI350vtkGw+OEncWtS0pvGWgZ+MXH38xgjPA8UUK2lGkxKqino2Zf/8BdrZ1IoctUG6K66RxLhmDHVdxzAM3D0+ou972vku5x+6wu65c1x66hLXDiNvHC3oZSBK4qtXv8rt+SWO7t4mpMjy9ISh7xCUO3dv0+4fkASbdx08RNtMuHXrFiEEPvCBD+C8cHJyxK07b7BcnXJ4NOPM7pzD20v29vbMONDb9/eDVfPeezIWoJMLoyhL8ZmSwkyRCGJCymCSs7c8tmmmdt+CK9YW2XmcWPauYvBVFuu6c9bNN4jDUuSzhZCg5fcmO1hKiI1gg9SYykxJM73aWm4VBt3QW31UJNgBlBSimqTLeYOpJAniEyRFJRW1rLfX7dKaIrxNLPlaHr8vNnonsnaNbJqGycQCJpqm2QQH1PX6TfMFn5dsF3qEevAmTAjFmTKmxOnp6VqssV3RG94pLLqeIStJahIR9Zkux3WwB8AKs7/oY+J00TP0hqdXCpVA67wJmxxr6CYVPnkKxmjR5JDsCZUf2bj2XOIouxarumOk60xhd3x0SqgqhiEiOIL33D45RZ3n4OID3Dk+4p3vfjfLz/02n/r0Z3jhhZdxGnjmm95BCC3L1ZI+6ho6Wi5Wa9gGsSSd0VmwK8rZrMrxYK6UVW1y99VygWJ6gW6xpKkqDvb2cN3A8Z3bvP7lz+GXx1yplL15y82jBbPHn+TRD3wLfOj9XKwqnK8JTY0OgoSKNDtDunGX3S6yPzgeGhyaIyKWydRUZsTWp0jlJww50TQ1kjL7eztMe1jeXpBFWdXGGhmmO+Sq4hjluZ/4cd77kY/gT+7yyX/wjznqTnnpn/4r7ty4ycc/9e943wee48xwTOcb0My3Heyx1za0znOhaZkRmOSBeva4wQKrAVLim37gW+iWCyZ1zfXXXuf1167xN37qb7HSzGTvgFRVLGPE+UjXd7Tzsyyjcnhyl50zZ8leyT4zyAqn0E52Ieay0St1qMl9Zwu58lRlJtWR6IaBZjblwuVLvO8DH4CSlzDyxe3+r0wRS1kr5d6FgkGPsCXCoMpJgmWOfP76HY67JX2KvHb9Kv3QkYNy/dqrxL4ndwuaSaCaOE5OD7l+502O+lP2D85w6cojPP/GIS9+9SukmAm+4qGHHuLixYs8/8IX+PKLL7BYnHJ0fBeflccfe4x3vetdrDRy9rGHqXLk5e4U19TElHC+Ig1KysaLj8ngkZQyqVgDACQ1L5k4mDdM1AhxIHhH0ohmipCQInRKFraujpwD6hq0miFSoxJILhHLsSFAJhk8I6as9ZLJ6omps34tA5oQL8VHzVswUMq4mElETlYdUWwPG8TiOysSSTwJ1vTK5AK+adGgpOUALiKuJq8WJBy+nTAMAXWbovA/5vH7YqNHBF/V+Kom1A2hboxeFIxW6UJl/15/vYl/bBAqRRlo7Y7g1hbDY1V/f6sz8uYXmkiuosqQXM8qCRMiLhjOOnJoowp9VmJSFkMmRiUO1lKLK1z3MaU+lVBqZ1hsHiLJqaVJayIX0zGwjb6LNoCNKdGtBvoYGQarwJq2pe8GVv2Aq1sb4PiKQYXv+OEP84/+n/+Xn/75X+DSlz/OdHef6Ga0Vcuz73g3mlzxzJA1RCMl7kZE6IeOtEolQrDYNTjwwdHunSHGyPHyFCFTiQVjoNDstBB7rr3wadLdI1arFbVmmrbiEOHlw56LT7+TH/iz/y23ZzM+O2SeqRyOyJSaJgRQz8liRZcTPnbsuMC0sQotqxZXTGMWBO/WZmvijd2QgbYSfGgZJLPKiZVm7txdcN0LtQ9MJg2hrrm46/mmP/fnuZMHfvfOG5wR+PCP/zF+6KknSFdf53vrCXuDMm9mVrXFBPHIcFaURWiRqiI1FlY9SyvCbM4bpwuG8xc4+8CD/JW/8yFOTpf87N/7+7x29XV2zszpVpF23nJ0CoM27E/O0J+YOpKZIJWBY67v7T4NgcVyyTKntbnepG7Y2d+nqiqe/qan2NnbZbKzQ6+ZW0NPP/S4tLHQDmq0V4CArHNps1r3lwrM0KfIMiW6pJwMkVWKHC1X9MnYRMerU4bOWEFXr79u9t/dKeRIzB3JZ45Pb3P4/B1mOzvEbknujK46aWc09QRfK8enhzzz7FN84YXP8vq1q0xnExLKK6++yv65s0hVcV0TSy/Eg13EeWLMaIw0sSIngShIctYdFyfK8R42bydTkmsOOAaSRKx2N98YivhLfKZ2SnLZfIRcIEsCGrLzJOeIOpDE1oOo6REodFgJpiFRl20v0uLZr0bAcEV1rZk1NCzi6YcBwoqQayQ7vEtkKhO0FY8bVMk+oEFREgQBzHpCfYUHNCcqdSRdrF//N5xgCu5VrG6HfmzbCccRFsGKrPvthNfzGNW3tDb38+itogeXEojHxWh+J3HAZNSCuERWZ9SrrCQ1jDQKdso7kzTfD82MnG2/zUnO2VwestwDI5lQyjD60flu/LNb9XRxoG6m3Lx1m14z7bkLvOOZd3Dj8IiPf/az7J0/z+Rqy+50yldvHiEyo61qVoINl/3mOg0xrq/B9u8CNqEj3uO8JfT4yhgdw+KQkHsOD0+4/trLuNiTlkvqbsU8BGgnHHc9t2Nm/tSzPPBt38ZRPePq8YLZo4/yZu6ofUU7qSA0rIZMJ9AJeCfUtdA3FrmYipVAVgtDN5zbeO9ZbHwmqqy6lRl8iRS9gyeEmi6ahL2XAecct2SgmjSkwbM7OU9V13TScnjtTS5nZb/xNGRC8BDNjxwFgqdPkcH1ODVTMpxAD8tVx2R3j5OUOep6qFu6JPzYn/7TfPaTn+blF7/Ky196ldOjgXZ6HpenpF5o2oou96xOl2jVo0S0rdDVyhTGsymTyYRHHnsMwTPb3eHs2bPmMzRpSZq51fdWc1Y1q2TMkDERS4feBo2yMXAbHxksTjFn+pQ47HqGlFjkTJ8ySzLLviPFvggRB+rgOe47UuzIw4oUe3KJe6ybipPDYxZHmcXRXfoBhj5x7oyxWG7fvsXx8REXHzjHw488xJu3bnLr9pus+p7z+wdWgAXP7du3WXph/+y+DTlTMtOxpGjc+MmManRRvWdGVaRvxqApw1RV+5yqVfo61udiw2ktkIuhNK7AmKUoUm/DdBTVYEp0H1Di2p0UsdzfRGJMBEaE4Nzmeudcvr+QP6x+t3CbNJiZmRtxJQonz3INxoHsNoEil3+PepxvSOgG4H5xwTbrZmTc1GUzgg2uOQ5joShAqwpWrFklY2W/LWIZT8MuKeRk6saYGYj0dOYB73Q9mXc+2BuhgvO1eVvPoNZMUAWy3ZRVXtsbWIoURO8YXAkOUEeviTRsxBNdHIyfWzjtfYwMY8ZmMhbM3eMjnvvWb+HylYf52Kc+zS/+6sdYTSf8d3/lr/Dwk0/wU9/+Lo4PjxgWHWcfeoS+H5Da4auapgjLnIfVFtV0HdKyZak6BhncODq1/E8HfbegO7xFf/sap3dvM08ds9qj2vHI+Rm3lku+nJfwwAWe/i9+nMnDT3MXz+tLZX7mMhenZziZLQmhwjvIXY8O9romTWV2Cx5C48gOhmhshC5G7pwc45xjPp9TVZ5Eph86gnOsahPAUBar4CGbM6BmZXlqr/XV01t85ehVdmh5evcB7qYThqnn8T5zZf8A0int+XOsTnosAzYRVHE50YqgJ0tUetpqgop5zO/u7vP88TGvaCbs7nIclTCZcNYFvuU7voun3vGu/4+6N4+1Lcvr+z5r2MMZ7nzfPNTcVV1dPRTV3TQYiwYCGAxpcHAwGBFCHCLLUaSEDEpkK0gIIllxoshJSEhA2JGCGUzsuCEGMZmh6VTR0E3PNXVVvXpV79337niGPawpf/zWPvfWq54iYanZ0nv3vnvvO/ecs/f+rd/6/r4D1bJi7/Yxv/VbH+Ozz92lGq0xLtY5v7PG9KKm3orY0mA3x+zs7HD56jnaIcYue6C0Xc/dpiX2LUZLpu6s72THWZWr7NXaCsQjQRidQDbqtPONiNJ10Xf03tP2HYe97JL6JJ2+9552Mcd3LcumwabAuc0tWh2YtwuU78A7dOyJvYPkqKzB+5bXb3wOVY+xtuB4bogB6rrmHW9/J13f8L73vY8rV67wwV/9F5y7cpkHrl1HW8utO3f53OFdLj/yEM28wSmwxhBDxPQyo1LRQwhE74lebEdSCDJ/CLmgB08KmqA8RnsSmjBMsVSSIp56YlLYpEgMrpQapbLFs5YZmCoG08BEUi7TLwO6sODAa7FsLnMsYEiJZCLKQGFkJzocMgsT/UlUCoLUHbeYoYuIsYUM7SP0Qa3qgA9i15By8R/EX1qbNxBS9JmF5UsdXzGF/l4FGbxZ0TrIvOG00MeYE9XPdP9ndwdDcf98Xb7Mvk5T14Ese8+JVCqvnFERdfYP0QpltKTFJC9+70kGtWdejPB6Gfzo5bUE4YvleG5OWTchgFJvWuyG19Z1HX3f8wcf+hAffe4F7HSNH/yhH0KNatCWtbU1eh+Zz+fopmE2m7E2vSCd/GpxTG/8nXkxGYpFjEL7lOepuHT5HE++8wkWx4d85EO/S+/n0C0IRzN81FQpcnSwRzGd8g3f8i1UDz7C7d3LfG42pwuKRx97gnoyppstWdudUGoNjSe0jgIJa04onJLtr45pJSsfsjK9F9HIJImnSUK2xUYpli5bKaMpVIlS8p6XxsosJ8o5f3S8Tty8CMHy2dvHHBWao/kxH7i4y0Zl2PARlgtaM6IuSkgBogMUdA7lIkZBacEozfLkhOVMo9fHWKXpkyIZhUuKF157nZc+8Slev3mTZ//wOXxvuHD+Cd7y0NsYr21w5eEHOHdZs3kNzBoUJRwlcBGOFo7WO4ytWPadmJ8pTTDiX7NcLMQ2uLD4lOjbJvtACROlT5Fu0TCqp1k7OdxDrHxeeh/pXaBxgXnXStCF0sLvV4bZckFoGtrlkjLbLJSDW2nm/9rhmvQeW8hw2LWiKZlO1nNovCQ7hSguos45NjY2ePTRR+lSpKoq9vb2ODo6YnNzk6qqmC0WRCNusrHrGauxdK6rLj5Do/fsnEWuPQxK44oxI++AWjVdMQVS0gSEyURKK0sVpYBs92yUUKANEPJCId7TQutUmU01qG6NimKGp4Z6NRSWN9e3gYfpvBOnWSWeRiEkUioIKRLf9PreeNyLTHy5x1dEoY8Jli0kHRi3kaqOGCvDFqukM7XWUueufIAenHMy+Einq1tKQndsGlEUWmMojYGkKJLGRkNNIRF9RSnhwclisOA0UVlZfVPCIANemzRCXlO4lOPogsIUYyEheo+1oGNHyphpys9FdmdBAg8UpKDwLuKEmCP84ADrRQXec/vuMXprg2ihVIoH3/IIH/6N3+HgpGX78Sd56Js/wPbVa3zaGExV8unjlu7BR7jxmWd58L7rvHTjM7x2+xXOpTFHRcnVn/wxugceYb0F97/+D4zqCdEoClPSLRuaFGnaVuySvCdFxYGuqa9c5qOP3MdhuEh458Pc5xP1csl4tqDtlsxjoFzbRlvLXtOwPzuhcZGrjz1IVY+ZWI3VPQ+c3+LjndBUb/qIsSXT8ZSt0ZiShN0PTK2htGNCFKfSzjtigKocya6nD5jK0vQBTIEPEYJYCkRgESUW8bS4qZVtgCoCo/khxz6h1kp2DTw8D2zawFFyxOUMTc08lQSdGGkZZcaY6H1C1zWtCyycwpSa2+dHvLIwvKTWGNnAfQpe+eV/wssfe4k/+b1DqJ/g0rWHON7/elTZcO2pR3jrXzJUm5CqhqThBIv3hrRUzIOiT9DogqMgOxZHIjon84Jc6Fymxp4dwonRnqLTgyWCJbQZFtQpWy5D44Rts+jbFfsmxo7MBMX1PSfHByxPjmnbFtd1onx2HbuX1ln2J6wtLGtoTl58lYvnLzC+dpXjvmHpW5rgmPQCAzrVoiLs79/iM5923D044OLl62KBPNmg8gv2Du9y52if3fO7TDY2uHPrFuOyIJXVyrjQ2VvSwA1QZtOKo2OzJHU99HO0X5LaCTZFNAqV5mibUKnCmDGaAqLF6hIdJE1KKfBGFgNjwGXNTFJWZgSlI8TBi6ogucxxTwXaKQod0GWNtwtSkOaiQBCAwqRsiCcCFp+EYeW9w+gkw/IIkYK+60m9B1VI3oPqUT6gQ8B2Qhd3bYuKvbj00q80ABmPoviLh9EPTnOKLnia3mFLjw9QJLmhbVkKHpax+ED2A8kfh8+jkkEopkDZgC4KdCH+6soUKGslsEHbjLNnapMyq8Ih0xvppHTuAkjyu5XKEX1pEGNIdJqESIhTYxoEHNkZUMWMBWbqnPeeoAwuRZauh5Boli3z2YLxzja3+4Y2JL7zB76XTz77WdYffpBv/GvfzZ1lh7pwiS5CZYwEdLueR9/7tdx4+RaTaDlXTqhGY565eYf57jaPv+1RnjtcMC4nmLV1Fs4J5tv2VNoQomLetOiypPVRPIWuXGZrZ4fj+YzDvmV9Z51F6LHjMaYeMU6JLjn2k8Y5x63DOR2BK5eusb61TcLQIoZpd4xFtQt0hJGylMayVdXUgtis6M9d8FTqtFsa5gpnzaJ0FtAMcJOLQ1j5mV1QvqKSzrumwrC/OKJVJWptyvHsiB1jaNoeX2qh2i0bKgUqOByJqq4w1mJLQ6M1TYq4QmMLy2vLBX60CUvYTAf8wa/9Kp/853/E/g3NvH2c0cZ59maefv2Aa/ef59H3GtQUYgXLNMxlEsFFQlQ0ETyJNiS64OmypiKlJNBF9lHyZ0KpV11djKv3Si7RTKnVChVTdkZMUrx9T5dFcU3XAVLMXNvRd0tmxyd41wtrzDu8d5Czf6uqgsVC4FSlST7gug4VIyYmQt9TGUtyPToVwtw62kcj3b8yRmyWfSdzp66jLCrW1zZYX9/k5quvEZ0juF5EQ9ZQaQd5Jx69J3a92Cw7D84Tc4arT0FgGgVGGWIMYAJGSccsHX/I1OFs9pZSNqPLzjG5gZRrMbyRFTdch0H0NRhhzylb5KAXCXMZFt2IhNsPSIEQNLKFik6y80iJqLIaN3kxKFSIkWEQESZJrBxIIuAi5I1CFlZphD305R5fEYVeGQ3jMaEoWKLEbc8FrPfEPJwxypBSIAaBGdquX1kFtD7gfKBXmmALXKwIlYgNTEyUVhSDxmRxS1FISk9ZoGwlwRlVDcmidM73VAUkK9QmZbOtrXyubRa2rCCRbA5lEkYNQ5Z8U/p8wjXgE56I8oE2dQSjoRrhQuBk0dBPx9xYLnj3t30Lk51t/pNf/iUeevgRvufHfpw/+9wNJlfPcedkgVKa7fUNpmXB7PCIJ3/wb3H+ya/hn/3E3+eIA+YOzv3Iv8N3/Nt/naefe5Z21tNv7/LVf/Vb+dOnn8Efz2HWME0G1QYm021uLubcXRyDVnz1D/4Qi+g56TtCVTLXllgkDnvPp46OCEA3siyjuGFu338/l9c3OFdPMbogGU03qpnFyGfnMx4LUjC2pmuUZUWFwWcxWjKGpBV3u4at7MaZ8sU8iNBSpoICUsCiMG1SDmMfgmZcHnKfJZ7tLZY0ZY0qR+yfHOO6HjbXuHH3mLVRySPjirKHnbpfBXMkD57ArBrzmop0azWvu8Sym9Fv7LL32pLzLPh7P/A+3nHhGoefLJWYFQAAIABJREFUegd39h8jXv9rvNK8yNoUvuFvP8ilKxvcqiCywM3FnjkljfcyuIwBgo64lGhVYuFlQNp7L3BFL5ROFRPuHrb4vRAlDJiwy/TZU43GYinurn22hfbe0+OI3rOYzYg+7zhTAu+ZHR7jnKOuC6LRbJ3fpVl6tK24dP99dMcnLI+OcLEnGRhrTducMB6NILbid98d89qNfZpmzkuvPM9oMuXy1au4MOLi+SskAkZbDu7eZXZyRDRIkpbVYI2Q1M68Lu3FZlT3stMpcnZyb3sZnBrESlg1WB0xVhFwKG1JppcGQstOR6kIWjB+EagpkhUxlS6KzFgDhnxYJe9N1KJ0RmtMiiRliSkHkyglP5+EtJFCRCcNZcRk2rJRkguRtHDoCQaXHCkpIp4UpAkgCn1SmUiOkshh5QobItFEeR38BevobVmxce0+lFKUhaYoK1RVwGQN6gpnSpbKSDankhfpa00sZFXHlpgYqSdrGOcoXEfRNHgXmHQdXSepUYpTr3ulFKYqMdqK3a8uRXmXjPhXJyUnLIK2Zd5yKQbva2NYWdX2IebouBK0ISVNgcoeOmlVpGLuyqrYUhhD03sWiIT8a7/+m9i8eoXbsxN+6p/+AuX6Gt/9d/4zNne2+MTeIX014eR4RlXWbE6mTMuK2CyZVjUffPFzbD/wEE/9z/8Qe/eINgbubEy5cXzM+mdusDFeYzZe8vrmOjvvfornf/NfcX2yQdn2eOYkCtqYYDxl89FHiBd3SN4xLiXc4eD4iOPeQedZX98iWcPS90z7jvXplEeuXWdaVtRYGudZtB2Hd49ZEqlHI7bPTSmMYVqMKJJBOU+lFE6BqWooNEEp5m2DzirdpIXZoLWmz7bIWuvVXKaNAXdmkIxWq47+LL55OF+ytnUBF8H3PePxmFmIvI6BpmdLG3ZGa1yMB0zqCdYUNAGWIXInWJ7zgTuzE/arCl1WLG4c8VBd8JN/49/kay4+zieevsXu5JvY3X0Pf3Zcsvl113nXN15l7fED3KhhNltgbEnEMm9F7RpSXDmedkl2pz2JeZABuZBoBBPXWenapdNEteF4Q4B9PnL6JinkOUzXsJzP8c7h+06+lxJ9kkZJRYnQC13L8d09XNvhm4bUdwRXsRd7bEzoccVB0+GUx4wLUiiYH54QU2A8GZGMpQ8R1zqijxzNlhhdcDCbs7V7kfWdbXbPn6fQGxhjePXVl+m6lmWzILpOwoVyrjcqin+NYuWaSqFRJjdVIWKrGjuZYAa7kCj0TpVKKYhmyIwVBp2PNhd6SCaCiYKr12AKg61LjFUk7SHKFC2lBKXAgliL9qUYk0WPdTXBD5myYqamjRIoNzuOJg1mXOR7X0nOr7GgC7SSQaxFun+HiEGJkgdhUiL0TtidKmFCRYiewjuUs0QnmoEvu8b+/6zJ/1oObS3VxoZwgbXCVlbitoqSaAuCsURtiFpJoU/Zmc4kVAji/xIjtohQeEIs8aZEeU+qelLbY0KQqbUa0tkFDlp1+apAKU3bBZLX6KiySk4JxKMGZWgOOUgyoJLCo7P4wWCTJmEgGSk+2QcvRNl6JRJFlFSZ3kWmF87z0FsfZ+fKFf7RL/0yz9+8wbV3P8mj73wXoZ5y4+XX2djeIvglG9s7kBR1VVFomDvHdDRm7fJ1PrN3i6ZUXNjewMfIR196CXU04+vPXeaTN15m7S338crRIdcuXGQJUFd4J7z8edPSKAXjEZvXr9GWFjWumB0dc9w14BxaW2KU6LgYIrQtD29tsb29zaWtcxIft2iYB8e8b0lKMSlr6ukUM5Z9j0+JlDylVsJJDp5kxKwtJaFTKsXKoeQsFXYlduPUwvk09xOGej8M1YcZSaEs2gk/vtSGQht6AsfGoNqWT84C57XCbq6zsBXGFCy7xDJ5bgXDS/OGZWGZJUvXOt55bZPnfu3X2fIzPvHRRK/fylzdT+cKvL7DuYe3qa/Bwi05Xs6p6jV8J46HJMQgC8g5SfRJE5IU+hAjLkbJFs33RsrDfp8zkUM87ex1hgIHMSBkzxYgBE/wHb7vSTFH4uUO1QBL50jeUyjh2XfNApxHx0CJqDlj19OagA6R9UlFTND1UtSKskBXIiQqqwpTlkTnGdkxKiWaWctyuUSbiguXLnP5yjVGkzGhzWlNMeBdx3x2xHg8pqgspiolZ1eL4ltr8XwZ+latFGQLbeUDyZVo58T/J0KKGp0s3iWiUVhlpLLrzKRQkt2gTA6HN2AqjSoMVJLFi0L4+0gnn3S2IDYGEzzJWlSMWGfQvoQQUdFjNBD9KoYy6oRWimIk8ZYpaYZs34AoXcm6H7FMsSL+TKx2qqYUpprYK1hU8JShx/RW4Cxn+HKPr4xCXxSML13BaGFNlDnw2RaWaAyhKOi0huLNQdbBOVRVo1OSYh8jJQm1JrCOaR1lTlU/5d6e0iy1ym9WMrmIgusiKSkKn/n2/eDTjXQNUXBhHcTONyGUvtgGVF3i+kAxKjJML1TCGAPzXmL4Ogzl7g6TwvD8wQFP//pvYKdT/sp3fYAPXLvKrCzoUuS4U2xsnCMl2J1urLjkzjkJlygr5s6hRmOuP/gILx8f8/reXZrg0RcvMzrnMceOJx55gINzaxhj8G3H27/5m3n+X/42k7rkVvLcOtmHnS3u+8Bf5bF3v5s/ONknNIGmbyFCWdRslTXVZIM6J9qvXb3O2ze28Clxc/8ud9olL8wP8IVlNBrx8IVLVAlGPmALjes9nfdURU1Rj+hoMYWYvsXo0F46fBUjyvtVkDJkiqCCqBQu5BSf7PkxFPahz+1z2ljTNLRty+b6DmGxILUd07oS9rOFmx4OqorDvsfuH/P7Bx2VKrGmYG26ScKyNztirjVmbHApYeuaX/2ffpbnP/gzPJk0H1m8l+XoG3l+tkmpbnH9a17nbd96hf3yNnouN7MfOJNEtNWrcHWjehKJLkiod9CKNnjJBu4duV2Q155x+S/GxkgpCTwTuhxBJ7sD37SEXuAUcrCNaztat5Qhr/ME7wnLJW45Q8dI7KRTjd4RaiEM7Lc9pQHGBW23pIidUBFTZBE6TvY7RlWFTpqyKDAjy0a9JnCKtsSo2btzyLq17O3tcbh/B4Ct9RGmsKjSYEuLKQ26LGjtBDvEMqYkivEUIaZTanWC9cxTT1FBkB7ZO8mUkC4/U017I/nLShG1ZE6bUqAiYwy6FIxeq0SVoW+fIjYvsDrluNKuJwTHOM8OUo770yRUCsLSUVEWK6XwJhKz/WDIlg4pm5kJHDzw5JW8D8pilWiGrNYCQ6VICh2ESNnOcW1H9B71F62jV8ZQrU1RSvJcrc0eIEZhVA5s0Ih67J5Cr5RBZdqVipL8ozQo62SCbT06RshdI+kU14whZI6qIQWxOlVJKF1EsRjGR9nqhQR5+KqQ36XytmsVO4fCuYTJ/FcRYYjsXJWWarxO7z2716/zW09/mL4wTK5d5aEH7+ebvvXbKKdjGh+Zz09IhWWjHBGQexQdSVrReg8pEBgWPaEmFs7zQD3lZNxz4h3l9pTFcs4tGrZGNWZcsDyeY1CMNzfpJmMWxzPm62tsXrrAhXe9nbVH38Kea1n6IKlSSWGMZq2smVQ1FYpKaUpj2RyPmcfA3HXcmB1w4HuWOkJs6Jcds1lJVY/ZtCVl37NR1ti6omt7To4PsTqHsqtIzHiDLuyK/hmUWukmhmIXU5IA7hTfUPAGxs3w777vpZvMna5rO7T3GEp0irgIrUriPajFcmFBhWs9o7piI1lJLXOBajLGoqhLyT/48Af/GTuHdzleaEbjR9jvzrEg0hWHXH5biapnzJZ3GLtdBIfI1wlQaKEd6IElo5LExJHpuXn+dK8A7wsdg3DmrCNr3zVE7/FdTwoB17c5XSwQul6Gso0YrPkQSF6wetc0hK4THyHv5KKLEZqeIZewDwlbjxlNvSilVSI5R/I9xmStitKYYTeWZHE7PtynLEs2NjbQheJw/xbESFnXFJK4CFbLfW8ttijoqwpVFKjC5uQ3sTwZ4DmVmScxD+hTjKgg7q7GBVGqB6FGBkAVBm043SUqgy4sutAStGMF2kEP2awp33hiuCBJYB5tDfhSBrrOkYJDh0yYzp5RoqrPaIAeQl3AYGV/78nul+SBscEWWiBipeW5DTCklohR5TUpBKwOJK1zof/yy/dXSKG32M1tAKyRBHtrFGU2zVIZ63a5b7v34h8EDitb3wQme+GoHME2hOvC6TY3Or/q9JMDfLaaVTIoi04onzYiw9Qs0pACLyc1axBJKuB9wqCwhaLtIqSeNi7YurzJcXPCk+99H6/vvc7PfOQZ/sr3fg/XH32ENB7TdB2fODrkvDVUZcVoc5OgoG+G1+TQIaKjYqS1FKqY8jWluagMs5MTrK2ZbG5TNy13X3iFkAIfHymOn3uBdaUYhwLXdtx/+QoXv/4vE2Nko2uJtuRWt6SbTjhczHOXYZiWlpE17I7HTMoKH3pGVcl0MiH1jg/t7+G8Z+9kH4JnvDnmLefOsVVY3jIeUXYtG/NjJmGdsYIj33CwXOKmmzTK0AZP75ycs95TTKakGPHOrXQJNhdrHyORRJv5/8OFe7arHzx7mqbBWsvm5iYHraNbHlMaw7ou0UmRQhYJJVhgsQpmoWTr+kWcMfz+Z5+l61oeuHiO80Uk+QWTvuPTH/8E27dfZFSUfPSVMVvjXaZecTR+Drdzh7Wvexev3n2Nqqo56R3iaS6B0qhEGSwqKiwWa8W9slYpezgllkiYt0+n+a5DsbdIUcukDblvlIRUR+8I3tM3Df38UASEGcvXMUdUOke7XMoiOD+hyII57zphr7StFKqYJH942AE7GYIWpoboqYzi6sMPcv/aJmta4Zdzju7scXv/GNd1+LbLRmqJdtnRNi0+Lpj5OeF4Sj/STApLPZ6ItbcW2mqsDGZcSXxnWa3YccEKZKu1BKqsoLn80Se74tZroaVIB++kGYsu5CHzMKhPK2ZXsIZoB5+snHOxYs9ASGLup5RaDatjcLKAeoheFlMTpZO3mYPPoL/RctKEtaeFbqnyeSQLN5WYto3KEdGIkZuYueVFSUlmsHat7B5ahbYSzBP7v4gd/fqGmDFpRamleFvU6qITs/83G/mcLfqrk68UKmfGKh+5N2Js6H5MCKstn1eBoCPaaFISaXkkoFQkFKB8RoRNEJhII26DyqCUhEcQ1MqGuAsLRnXNuLa89d1P8vRHn+EX/p9/zlPvezf/1t/9L1CTMa+4jqVv0YXGrE9JzlElyR3tvaOLAmGMKkOtrfjCI/dwGYSdH7RmK0WsLfjT5RGHF88xGU35nuJx2oNDntsquHP1Kmttz/JwiXOOg2aB316j8ZG+3KIYjaFd8tLdPRiNGOuS0mjOj2rG1rJWlSx9gx2NYFxwt5uzd/t1bi49aHj4wiUujip2jo/5xM/8Y5r5jHO72zxx3/189eOPcaR7PvLR3+YX/+APuP/Jd/E13/83OUmOxgcWThSsk6pExSBdYSHGXNHl9C0tthEpWyBEhSiRV+f8TCc/n6OtZWtjExK87paUOjDRIoDTBMogATA6acoku8exrWnmS24fHvD60T7T6YRUJmrTM0otR597md/5hZ/la+OST9zUpJ1v5+rdxLVqH1+/Co+e44V6wuREs1OM2NN3ZJBmxCdIKYUJlQi89ISqWENrRYVHaYVWwse2CLVXrdghOeNgmDmvXi1C0wuBrpX85Pl8Dl1zuluICed7mmzs1yxmoobuOlTfnSqjY4TgBOhGClHMPpxTY7HWUKWCi1cu8u5H30aVoFo2xKNjUlKMputc2h6xnM0JXU/oOqwyqARd16GMwHAhJZwR2CS5OSkWlNMN8ZzJjJhoNMpoSluijYGiJBkt9t9GryrAsAC2FGc82g2avBiU0pEnL5mwI51Ww3thP+bIS1OIENOYTNEUwkdG6TONMfvlADpUpOQJfSQFMdnTKeSzksOFVMreUQlLHsYCKofLKxRBmYz9y07IKi1CSiVOvlorfJTrNcbsYhk9xgSStiTnUOY0/vNLHV8ZhV4hgoqEOMHJUpiHphJ8kdIQtDH8n9NB3XCclQYbtGz1EBGQdFYmKz8DKhTCx42RpBK6UNk3I99bCfGy0SCWs3KmU7aSlfF9vqFEWpetfE8XFVtWvO3Jt/Mrv/IrnPgl3/u3vp/7HnmQpwvL8WLBMjiW3mFNyRSN9oHloiEk4bOnSlNgqJWRmyCKiMto8FFUeAZFZQ1poli0x9wKPRfMiA1gW1ccaMNd3zEyllhVTCYT9tsloSjpYkuvNYeLGaoqMdtbhBBYqypKbZiWJbU2WAPjeoqpLYfdnIPjI9rkqLe2KYjsTMeMfeRTv/O7vGPnPO957/v4rvc8xcnebY5uvsr25Yf4m9/xAezWLv/ij/6QP/7wh1l729votaaPcg7qqkBnN01jZLt+yqCR87u6ye8532fPf4yRMnOf27alTRGj1YpXr5UEOVg5dfmjZlwV3Lm7z+3bt9CFoqwsMTmCj/T9kruv3YBP/5mYqZUTGiZc2t1h+epNphcdbFQcth7t4OBwRrfbopTg7B6FThpryOEjQRYdpaiMTOmVGTjZp8V88G9Sgy7jnmN4vYPSue97ypBVn0SR0/fCW2/bJX3XCac7N0EpQ57CLOB0qzDsnIEiJoLvuXTlEg9euY4awtKz71TK2pKUPBpPaRTOakZW4j3HldxzLgSslbxerVM2KrQ432Gq0Zvv4fTGf8vMrnhDR59Swuo61wb5P1ZJjKjyuZPPsK2lg2BOd4BaE0hoI5bFMk3NvlDErKGR93EQPmrItEyNroTZRIzoKEPtQueOPqMQSSfEXzpTPxEr6iRUPinqudCrKIt9RAbQSmvKsqTAo1NEmUR0HpN6os0LVnhz4/uFji9Z6JVSPwt8B7CXUnoif+3HgH8fuJN/7L9KKf1a/t5/Cfx7CDT2H6WUfv1LPgll2K3X8i+MgpNrwdrNSlYshQ5y0X/DcJU3fDQhoou89a/K1VYNhrmYLAKTztD2XrIdUQSTcJ3gmSrIVjCpQNF7vIYQk6RPaYWyBu2NLEJByvukKFlyhLc9B/5l1sqCqxtTvu/v/hB6Z5fX9TpPh8TB4QylNOvlGrvTUm5E1/Pqck7rPV4rkuuJBzOstexsbjOdTtFJLkLvI10j3yuLirtIYMEDoy12bhwwrmue3VjH7RhuLWYcHNzlhcWcvVmD1ZpJUpxLBQWWT372Raa75yi3Kqw31OWIK3ZCbRSjUaDVYpH8UF+z2O/58PGM1lqur+9wvtvhwXNrvP4rP0Wc3eIX/93v54/+1dOcm1qe/dwNNiYTLt5/P33X4+58jgfsLf7edz7Jxz/1UQ5SZOPdX8vvp0QbHBMl77fKIGZMmR9vNH3WSySlKPN14FPIg1zhvgN0yyWT6ZjRZMKya1i0SyZNQ5HAmALfR2KfJfxREqua3CW+1nrmBzdw3QHTYsq5voCbLc+taaah4+4//SDnb57wonHQrrFuNX/sXoFLjvn9x1y5dkLZPkeRpnQuwEnu8bR0qFFBtBLzGIoZfRDL6Lk19Cph1tZZxo4tU1H4hAkB5zwtCdQAIzicE7qfNQrXtPSupVksMi1yjs92G2KU19M2S/r5Cd45iqy2Ta6jchAIONXjU5AEJQAfKaspBkMzX3JxY5MrWzu8+8o1JmjSci5zj74lphaUlyCW1lCqEQ5HYQ3EQF3UkGmh1kgjZXQt9zQWjSWoEpIhaItXQrM1VtOaFltVpMISbCKUBU4pgi5JiG1DSolqyOXMR0KIEqqyq1ohrK1Mv03C3BogGYahf24EvBYoFmT9O8trWVEuAVwrPjgpkVIpKVjGrBYoNaAL+QFC/r0xP8chJWtQAvexFGrskBMLWK1IwRKjxyCePK2psApGxlKqP1/Wzc8B/yPwj+/5+n+fUvpvz35BKfU48DeAtwGXgd9USr0lDXloX+hQ2VBLRUC/odALTpXyKn26XU9JOv3P+6KUnICYV+HhpK76lTy8ypkCIqxKcgq8C8KDjTI5jwGUEkoXuRDFCEUafC8GbA7a+SEbV9d49rVnWUwSDzz2Vq499RRpMqVNhuXJCc6L0KEqK4pCunNjNQSNS4k+Blw2Mmq8JzQNJ23Lud0LaMA74VkHH6nKkhGwaaTTab1n5nsWbWR3e4OgNW3wjHM4xkHfU1qLjeDaRnQExjCuS4w2jCrDdDSmpqQ2CmsdRiWUsbRLx2y5kPAEazhXj3h0bcQkLnn51k1+4Hu/izuv3ubahQcpJts0ruRDH/ozDl99iW//9m/nofseZHL7ZazRvPer3sNP/Mpv8f63vYOiHuNSkIF4PFV+xmHjNNwwg2BqWLDPDCsHpazWeuXXI11sC5zyzYcbHSBEEbGEKDdc5xOL2Yze9UyNomuXjHSNazpMobn92msUIasmkwYVCaklpZ5qZLA20TQLbNQUTtO1fvW7B4aXG1xYiwI/+AoVBZ6EriuIkeAdtJ08txDF/wSyg6TYfqiUSB6adiEd+7LB+R7vHCoAKpvluZ6+W+KdAy+LhMlwj8/dakzimZhI6KRR2qBacYKcmpLrFy9xeWOLQmlC14u3Uwyn9gxR2CbGQIw6Y84gHnMq05CH2ZkSaAaN0Ua2zsYQdRYzKYVSZ5S/iHX1qamXJmh5jrKXVW9w6LynFq0Kc4wRm9TK+ZThD6DtgJWfMryGY1hC1JndxVDADcVqODzsxKw+zXMG2WEkLfsji1CrRTeZ4wpVhmqUwlFIHRkgJS10Uq2EQaSt4P42WYpCbF9M+OJl9ezxJQt9Sun3lFL3f5mP9wHgn6SUOuBzSqnngfcCf/TF/pNsy2S7MjAo5MSqM524YF8gb+RZZsK9h47DyZA3ebXu5ZvdZ2ZNyuo6jCapKNhc0OAR3rMLYqeQ2TUp5pDwkPKjypY35J3HxobnYy/9GdXVHf72f/OjHCT4dL+kjAobNZvTmh2tOYyRru1p2waX1GnBnUxRMTD3IgYaX7hE13Xs7e3x0nPPQlI5F3fEZDKRaMEQeV+v0WWBq2vauuTOcs6LN19me2uL7emEDTSjjW3eft8DOOc4PjxkfzYnJM/jb30Lqio5mS+4sLHJ2BZopzEhUChNqmuOZzOavSOCT9x39TzeJN5Vlajf/r/4+DMf5ie/7/t47eOf5cJj7+Fjtw742Z//Oea+Fv737IhL1+7ye3/8IlceXOOh+x7k03/8Yd77wDV+6R/+A576T/9zuroEF9CF3FohL8nhTCEfwha0NStrhOHrIVsGjMdjyrqm957FYkHbtQStKUZjKluI4C5Guuz7HlMST/yiwHk4PjwglWCCp503mI0CdzKn3Frj4MWXeEtRsmgUJEtQCwIeVM/m1hqmaFnMFmjnGKmatl+sru1hoRlM91x2ZJUCU9IlibhYNC3+5Ji07IXzX5a0mXGUljO8k4hJEVR52sUS5zq6ZSOLne9JfYdPka5tRDnuWuil0OucBayCp0tudV8pImVUMgcKUATD7sY2b3/sbVyuFcZ59GxBEQO10fQ+UCZPIoCS0HalNN4kbMxujikRowdE0b66V1Muwkp2KkqFrJFJ0nUpsQfQuso/J2FCShuSLTGmyMKjIitM89B5uMXTqXOnyYwkGxMJK1BMLvwmN4JKC89+SPI660c2lJZ0tt7k99CaCh1OG0+hbQrjaPjdSr0x/Urnx9fDbjU3nwlQSHiwQMf5SSSxcTAqonwCApYWEwR6NH+e0M0XOf5DpdQPAn8M/GhK6RC4Anz4zM+8mr/2RQ+lwJanAExKQ/jv6QqrMrNlxZgZPsb4JvjSKFaTc5NXzaHDB+FqhxAIpRR6iewTL2h8BJtI0Us8INL9ZegTHU1uCIRoic6SZJW4OZnx4Fc9xUPvfYpnbs04SQFTlUyNZmw0G7XGAFMU46rCFwXL3uFcoI+RsS0oVQ2qZ5k6mpgoRmPOX77C3YMjUYS2Pd4HlieLFSR1pe4YTyews8nuhfPo5YRPvfA8xwcHVFeuYZPieDZjI4gV7Qi4sr3BLHji+piTruXixpQdayiCpzc1ldUk0zNrWu6eHHNpVGOVYb0qMKFne/8uRx/7ED/3o/8xL3zks3zdW9/H//GP/iXX3v5+dnYeZ753wMWLF7n8xDof+8Rd7hzd5ui3n+fJJ+7jhz/wfp564Aov/u8/za4JHISO0kzo1Wlh91FsmwdMNanMmMgK2YGGOTh8KqUoioKmaZidSRWzCiojLC4fHNF5lssFvRKFahMDIw13bu8RugWFKWhPjtEuMb8b6VTPUbcAH6k0nLiaoAw+npCMwdieqqoI/oR+EThZdLhY0ZfLN8yMzloVDP+Wa7WijYGJb1h0PckHdicbJGvxoWSeg2lsM5fBZhQhju87+q4h+WzhGwJdt8Q4KfqhbSEEEfk4J94wufOMIQdoIF2jxVJFwzgYNqox73nsHeysbaEjTNwxNiSmpqAAusVCum7nsdHnrlZEixphlaQkJIqkjYAVUef5lsCyIFRhATMkI9Unj44+x186TKyFVRaFqjIUU7TQrSnEnyrqIdthcLSVgmLybmLQ1wR1yrYb6NhkrP7sji+cKfQDDKNznRlsEAQRULkJPK01Vp96yKf8mGGAgTI8JDTMvECc/V3o1ffTgGKEgFFeyNqF2CxYZbE2YhJY/+fY0X+B46eAH0cWoB8H/gHww5zuWs4enxdgUUr9CPAjANuXr8hGTJ8qG7XiFD/jjUOZ1Qqau/971zWtRU2n85tOXtm1fuMFM0iVo9FiU6EjaJVFdGrl/reCCfIAVGdlrAQUkK8wxUePbvLDf/n7qHa3uPHii6zt7HJ4+4C+srR1jVcTjNXcXxhaJ5z/Ukseq/VB/NWRAVgVJbrQKk1ZjghTsRQeldKxdq3D5AvtdrtgZGDa1pTTMWtFyeWNLe7u7TE/OmZ9ZxfXawofCcuGZd8J2PddAAAgAElEQVSzsbnO+qjmmEiBYjqq0U0PfSAW4gOUYmS5XNJ1HUW1htEWW5dYF+j39vj29/8b7N14nUm9SdcVHJwErqgRT777a3gsJiajguc+/jG8L2h72Dl3jRuv7KGiYXlwyGPXr1PUBQsXSFETs2ugP9Ot+zygvReyOfu5zp0yiJhM3BkjxlhstqLViBp3sGeOOgMWeSHpFnPwPQRFdD0mWpJ36CIQWk9tLVapDNtApJeOwnjpSqMTamgn4h6BdfLz1KcD+rMfAUrtcTEQmpbgeqH8jsaSX5wSXd/ShcC0FzqduKND8D2h6/OMwonuwXkIXlTH3gm9OEZx+4xROkTIjyB9pFQbg0Gzu77DA5evcXHzPCaCToFKFajkwQnHvixLmma5shC2KcmwMMOrHrkvhvmuEsRz9V4UWvzhs8ycpBKehEkRnWJeDAIpilmYPMscGUrmxK/ex3Tqh3Om0iSth812ZuuRHyU3h6ss3yQYiXSUMgskrXYHqDPFXg067CCqfeVExZvSCn5JwtyQxjLXoDTQKGGFxyeVn8kZNGKAcqTrz4U+ZThNpVwfhSmmtVBI/7X70aeUbq+eoFL/G/DB/M9XgWtnfvQq8NoXeIyfBn4a4L4n3p5M8hBVxtTJMA7CIMhvUGWLlRzeZ0/p4cUO3bpANeYNw9dAkkl2/v7A5ghakaxBRSWquSSgvrUWlTTKJnyIuCIROpGsEw0pRkpT4FJP53uSCYwmI7a+7Zt4ed0S2xkXLlxge23KfZMNbtx6nf3lEc/ODkl1wWhth1ElDom1hbKA6bRi0YOPic0YcLHmTrskIRm5mxMRW/mEBEa4KDis97zczTDdnO39yPW0y25Vsblzgdloyqde+hwH62vYjQnTtqQej/nYJz9FVRRUdSUq2lFFgcIkGFclflTjuo67e68x8y1bGxtMqjWqomC/bUjdjE/85q/zvX/9u3nhuZe5eunt/P3/5ec5WpRs7R/TR8fv/O5voGNgrTR83V/6AI1b0nEMYUSh15mdHPDed72TZ5oTxpMtTnqNc2HFIhnMzKy1uKzo9Pl7wrbILJozmQODUMo5t1ocqkJCIlL09F0jHHOVaNpG3ETrSvxWbt+kri06OklMWvQEM2FZQVUaCJFltySmKdhEl+bSqwXP0d09ys3AoWnZYg3XQ9M2K5jg8xX44ah1RU+iTY7x5gapD/jFjKAUQWmWXYvznrhsiTGgc6OTgiP2vVgd5GF11y4xMStjh91OTCgXJXtWF+K75D2Mx5TG0h8vCVrzrie/mod3LrNZjSj7AK7PmgOTZ2YlKXm88xk6iegYUNFhlcEoTdDCrBmYaQrxdxoCN1ARQiBER4oeMtvFREihIAUn6tTo8cqhg6EPhqCVdOXBURaS9hRiwugKn5l0g9ZmEC56rVb6GoF4zsx0kIVoYOElOTnoBMWZ4qliWuHqMvo4xehRQptMGYLhTKEPgM5DYpVnMcBK9KeMWcHJQ1efQlxlVIsDZszU8ohVUBsLyVFojVUiTCv+dRd6pdSllNLr+Z/fDXwif/5/A/+nUuq/Q4axjwBPf1mPmYJoTnM4dJ7FAQOl8dTbw9/T3X++Y8D5z66aQ+e/Gr7c82fYXp+N8JKTFFcLiVa5x4hRMEadcLFn2Ue2H30HN46PmdYjztma6AIb1rBRj3B95KQ5oXE9t1TNOopRVTGysoOwQGlk0l5gcUHTeZshJ3lO3hq8NvgYabSn1NBpuJUswQcOZids2pLRxibT0YjCWtanU06aJdOyINUlyRkuXbtKXde0CQpjKIuKOFjSFhWOSNfOmc/nmMqwNpkwMhUnJyc0qoWuYf+1G6hyhKonfPKFV3nlziEXLjzKuYvn+MifPMP1KxfYv7NHVZT0zSGPP/oQf/inH2JzNOXopOXZ259j+6seo3MOUxj27x5TFnmGEuPqvMYzXfe95/reAjpkFIjzXw6hQYRUREnVSj6QyEyM7KOyXC7B9ZRji0uebtHSzTqmlSFYSx+CzHWUQkIuIkk7UVPHiOsDqg2kMhBSi3YKp9ybZkifL9DZGMkmSMsF5ahCJ4VrxRCsCwIzuRAInbwuozIFIIhFdYqR6HuxMXCOhCOFJAKhvAvVSslrj4BW2KrGd5E+dOyeu8KFnXPcd/UhRqoghYTzHpLCpohLYKImIHh5VBqPDF1TEmGd3KunMIKgFNLtWrT47yjJUjYD0SEqoWR6Q9QR68WjH6XQ3osLp7WYaMSkLHlUVPhYrO5fyRzLdMrhF+ePKnPSB4hG5aaRJEE3caVsz/d1BiN0rjUGJYPqPEzWeVOk0hBmorKl+enwOA7PQ0te7RtrSA5qP1ujhueVr3SVB+9D+bYk+aPkY0IWHz3AVPHz177Pd3w59MqfB94P7CqlXgX+a+D9Sql3IW/TS8B/kJ/4J5VSvwh8CtnF/Z0vybhBVkqbIoPbnEdnCfBpVz5MrmMuxiapFWUpkAevahjUntnqa4XOhUIWX7Ua0CqlSVGtTJaIMiRKCbkYM7MgKM9AjsoOJHgfiNbj6VmGJYvDOdfPX+eZD32IK+d32bx0iVREFsuG7e0p1o24fWRIvePDB/vUJyeMi5IrG+us1RWbZclYi+2CQDowKtYIIbF0vZhMpUQTA05BUWicqXDBcr4UUc386JhX9u9w9+SYi+fPs76+zsNveQuv3r6FajrurBVEDdsP3A8h0i4aJnVNNBavDNP1Ka7p+ORLn6F0jssba4w3N4jaMjs8omlbZsyZ1AoVej79/HOM6nWe+dM/ZWv3PK/evEHoTth79Xn6fsnGdJNmntDuFl/1xNfT2Sd5/eZNpuevs8YxT3/sU0y+8xt4/uSAvpoSM0tm1QHl/Xc6swgP5zHFsNrNDTDPADOFlKiyYZ21iuQkQs/3rcA2ACpiC8vxckZzdw9UpC41yTnwPUolfPJgKxZ9g+9aGm0JusenpRT0UBH7RHfs8UcO1iNBNZiQ8PF0hvT5Ovnh8L4lGU27PMEWmlFZcXR8QlUU4gTatXLleak0NmdUxhAkwDvmAhEjoe+JOnPcQ8y4o9wTta3BGnwUeOvypYe5evUqD1y+n9LWTExJWLb0ylNWoMuI6zpcqLAquyiS51alQUWhEuoQMPTE0OVzJ/eV6LwSAnQGYs5KNgRSdu9USUMfsGVJUoqRUqQYxOdIC5VC4TGhyB6BCe0tkZBpmpro7WlKlBGV6SoTIi8IMoBOK5bMau1NpzBNSiIwK6095fDLYCH/vMpja6lREakrw0wRFMba08VmgBuFtiePF+PpLmOoR/nz0iRiHiyHlNBKzqF1jiImweN9n5lOEe3Dn+8wNqX0fZ/nyz/zRX7+J4Cf+LKfgfwncaNTKkOgAShWQR1JRvUMaFvGdBj+HiCZjDqubq4Bxw9nttCnIpw3/zmdrAtHOw2qwdyRDMtvStlYSwck9ren6ZfQQmVqvIuctAumdUHSnlF2aFwvRvigeFG1qLahauUm3uhr4nSCqisqoym1rNqypCjqJAtbH2Ne2aNQ2bR0SVuqlOc/mXDoPXd9h58ds0HkwtY22+MJru048pL3WdiKkZFTH3pPQrG2vkbbBw4ODzheLtg0ElFYVTVHyyXLgxOBuWqBS6ZrY+67fA5tJ8xnR0Sv2FyveeWFZ9mc1Bz2HYWp6azhHY8/wCsvf4an3vMUzeOP84f/75/wyFffxyuffIZrRnPcNng7fdPFeLYbXnVM9xTNlJJ4tqTcsWc4bzUAVRL0EgdsPkYJmS8E7lkul9C2kCQnwLkOgiOh6IOXHFYQJbS1RO9wqWdQkZI0fRsp2gBTSEpolTLvS/n6OYWZ7j189PiowSiW8xmxdBQ+EHqBWYITv3XvpRAlI68pBfGoUWd8f1RMq+0/SZ921hHapidpRVGP2Nk9zxOPv5PLFy6RHLjO4xIUWvQYKUWCj7gUhfYcxRUzAFFpMddVAaUtgooWpNhLZF/MrJI0vF4JyBhmYwrFkIkdk8+zBYTWabKk33agswlZ3nUp76Sx04oYJZs1asHA4zCjycPSJNSVFU9d4M+Ui/Y993q+hnRupPSZ4qnPvK8hszEGSrcIoDKiYDSgyFkmq7lgSoCR86+R3b/8zpxqlT8HYfMoJbMIktzjKgmMpaJkGBOj/FxuQPk8O8QvdHxFKGNTivStmFChLR6F0oGghkGLTKQHnwqQk+JVFiKcweejghgHRzj5ekiZaz0MTXLhT1FLAESMeBeJTrwxvPf4vic6l/1whlT5zBxAEaLABL3qcNqz7JYsbh5x9dwllu0J+82M9Z0pm2v/H3VvFmtZet33/dY37L3PcKcae2J3szlKHE2KsEaajhJRcCLGDgQ7FgxYRuIEgR0jDwH8kASJAQeBgDwEhqEEQRAgQGA4ihFLli0ZkixRhhBYIi2JEcVBIpvsqea6dYcz7P2NeVjfObcoKQAfFIHcQPetvlVd995z9l7fWv/1HzwxJkqFZ5ZHHHUHfM4kxssE48jZwzUH1nBXhJdPjjgcOk7mA4PzLP0SasVZlWjbWrHSkSqspkCJKna5WRxTSUxdR3fzGjEG3liteP3OGZvVig/deg4Rz6+PZ9QpMK5H3nn7Oax1nBweM9VCCIUvfvFLrC8uGW4tOZotqbVy5803uXPvPoe1p1pP//I1tmGN8ZZnri0QmfFjP/opfuM3fpd3vPh+DpcDi9n38A9+6mdYj4ZP/NlP8fM/+xM8CYXwmd/ke777E3zxNz6Lecbz9TfvYe7dh65jHQPzp5aWharGVEUVnrvDer+A3UE7pRCDLiVj1EKxw+xpRT4GPeBS46BPMTJfnihr4skTmLSwOGeomwzbraooh5kKtib1wc1GSGUkVQ8UjDgECKtAWUc4NhSJuuexiwa7XXX0fxR0o81IBgplvWazHZmJY8orLWItHDvuoIe2WKaqY2KttfkztcLXNB/GVAwGjwHruHXzmLe/5z0cHl3j8OQYNy2JE5himA2HpHGi5IIX0dbJGOxiRl0bsjfEWnQRnHXRqXInbUAKgjiDyfoeaWZvYYoRI3UfdpJTwDLqszZFUsyMUaGiMsxJ/RzxDjubs+1m2GFOmA3krmfabMi9J4Ul4jrqMOD6gWzrFUznnR4EoKE+VjHzAsyw+yyDmq+M4/aJU+2fFPP+feEpCHH/69IOLOf3B4XkQtnZdOz+36a0FdfuSa4yoZ/+ejs2D6IU2/3nyOSUqSHiWxATOTGNa9wYsFOkG6dvusZ+SxR6KRU3TYgxBBeba5tad4qIslxE/SF2lzpGaKOtfYPsX8Tc2b0p1tNv1K4XVJ4BdNsG2+RCGrfkmCkxMUVdcqWSSLVQQsInpX5d2MK2Qm8nboUJMzP8X4/e5Mb3fohn3MST3rOuHferYXy44cOHR9wsar28dom1S/xwd8QdEqve8nAaeRISb2xHPr+NDGK4Plsy9x3Hs0uevXGTwxi5LoZZPyj10wrd0HHLeWa+8NVc6ErBRs8iTITOs7k+Z4yRe6sLXn/rq4i1vP3wNrhCvFhh5zMOZjPW64nNdsvvP7rP1y/PSFY4uhx5eHrJncen1JzxJwvuHc84PFxys8KN7Hjr8CU+/+J38oXPfYFXnn+B7oULfu1f/Csuv/6YW7du8b4PfoSPfPy7+S/+h/+OR/kFnj084G9+4uN854u3eHFxwU+9/pu876/9KK/6AefnXG8e4oC6jeYMQQuzMw1ntkJso3TKBclJO6wUKSkwszAMHrEWcVpUw1gwky4nx5LZSGUzM9y0GblYsTi7xJXKeGA4XY/kdWax7YlUVoewTBve1g2c+UNCBGbnHEZPN1pG50m+Qjmlbkfm6Rqj6dgmwTWBSzWyjzo0vt1vbSEMuqzrRcjFqkq0GLa5gZGm4qwDZ6g1tGlTcfmaK3a38MPgxND3M2wZ6DrPyeKY5WzBzaNbLOcn9N0M52fUSSh3IS/UHjlZ2KZAloKzYEtloMNJhyuV3AvW94zWYVJicB6TAkyOrXNsJRPLlr5aak10UrA1I3HEVkOJI+SKRyAbas1IDLicsCVjk7KOtusNJVjEd0jsSXKEmS3w8wXe93TzQLKOMo/gO2SxpJtlJgs0A7TSdURrEOvJDcIxzVMmOdVNSKnYUjCl6r6jNHbLjh+/85+vyrgxDQmorSCrhgHWo9qj7GvMbton71l9YuBxFtVvAGSdwCyFEiZMzVjKPjXNFhVCdVVhGx8SXYqQ9DWrpXAYTklBYx75tjM1qxUbI9VqeHcRwMhedLB7s3Z0Ql16NFcZ3YmqPfFurIr1agnbPv6RYuGCntSlQTVFR3x1pWtTQE4Nvy/Iznqu6oFQKYSQ2IYtJzeuNUWbCjxSSoQ4kvIhSZpPj1isF24ah1kccOk7LIZzGanjRIyBKcNpTKycQ9Ye7z13Sub5Yc4JhWWxFGvI1jNZtXU+icrtnyF0pTKlxIFA9JblHM42a9KknhneWbrjQ5yHcVO49/ghj8/PeOv+XTYlUY3hfhixpbKslcF3nBwcUw7nzOcDftRcz+dfeTvXH5zy3tmCw1de4J999rO81k984OXbXDOeB7/zObbvfB5/0HE9XJIuH/HD3/83eP33vsC1Z0649fx7Ga+fsDGWme24FgKrWYNinnJfhKeWWrCPksxJQzJ2nf6OT2+sxTjX7J3LFVzT4LZCoR9mqihdrRTzzxnBkktplN1Gv6sZZ9t7niNFLCE4JHmMddSqeDFUjQWtZb/bT+WphzCru2ERxZNrE30ZYzDFklIlF0MxHhD8oNNUmkbSZq33nylgLc73GGdU5xDy3vzPGkvvPccHR8z7GUfLEwY/cDgskarMmRyDHgq+V6qgbg6VZWl0sSzCNwgXjfEthUqNtszOmbHs+GtQTEtHstIYMc0crFZabDe5QMoKwZai3i47WwLtlIu6xZagS0szEUWUvZIz2Rii9fp95oyx+vpFa5HqkWIpVA0UcUUVuNlSbGPmRa0Fut+pmKKft+WKSaM7hyvYd1fUTWsgdxoGALfDaYDSov9qA/eLEUzVHYkrik7o8lTriKkJafm8ht1yWu9PoZJL3Rd3iVGhmqCumTZNunRv2bnf7PWtUehLplutNLTbdTgjCsfsCnwz/sFc7XXV103ruIqaZM95n+JVJ/80//4PXjnpKVpzJqUtNSRKmCAmaioawlDU2U9yxmbBJYvNLXyYQkgT8+MDXnrvOzkLG+TwBNs5xssNJYw87uYc9HMGHFkM0RieS3BtOCD2C571cy5j4P5wyJ31im0IXOTIZUosNxOnb3yde8uOg0vH8ZT54OIYJ4Zp3uPnMzoxPN/NMMZw0HUc9h25wmazVV7u/JB8qDfiWzFydHDEZhz59X/9ee7evcv908cKeZQCnccNA0c3TzgcZrz71m0WXY/xhmlmWW+3XDtaMusnXvj4x/nHv/hz/NAn/xxf/u1/zV/51Cf5Xx484XNfuwPjlg+961nszcJHZc2P/Affw7Kb8V/+nb/Gx/7Mn+FfTlvkL3yKN6msJkNvhWWynDcf9BSUQumtxVhVLuZaKCkxbSdSzmzHDb11jU8sON9jpeKNV5gvBGpKLUZSwyJCThSBo2HG6tED1o9PtZsWgWoJYYIYyaghlpDJcUsVB66yyZFpewhlwbDsW1B0hm2G1QbWA4ujgWoMCaV4GnHUTql41BYMn0CH04LrbzP0A9duPsPx7WdxftAiJUIugc12rUvMqFitL7pU9KngghYBGxNSUXsLO+Gcw0eDTRniiO9RCb3XTtNZg8kWMCTTSAzq2IUYNNe4VopUetv8apyjlkRKDpcT1XtK8OSUKNarNXEMlByVNZMNpWq4Si0KT4VSMbUjJ32UJRuNThSBXKgx6JQRg4ZuFO2AS/Aa7uG9Lsh9j5CoNVBMwHSeYj217zQByjn1jTcO730T2F0xaxzNGVe1kcCVmt7ldKVkRvaUSilXzaMVwVZDTjoFxBKbjXZRvxqp6nFkDIMo00iTo2JbnkdKaOK3phpOqBiQqotWUqaEidKezTq1g6GsoLHHSN9mhZ5SkUnd5aRUxKrbX7EZMJrv2DogUJimaQxbT6FvyE4tG684S1fLlz+K+ZChFBWbSApq1ZoilF08WRNykNsyRL1uTMl0RhSTlMq1mzdxw8DZuGaOYsSVTEiF9TQx+h6qIaZCyYJkw8xZBjx1MMx9RzWOaIRVihAmNiHgXSAZcDXTdXO2m0sebtc4hJQnalT1Z7AbRITOe/rG2+2sa5oEtV421nB9mOGM8KVXv8ZXv/Y1VtuNxvc5x/HhIfOZWiucvPAMg3Uc+o5OYWG87cBnddQTS3GZx3fu8uXf/TyHz73MnYuHfNcPfR9f+o3f5tHrr/HK259l6DM/9mN/nnuv/Qqf/n8+x1/92/8pX1ttyY/PWE+RlODQzOgLpKGjJOWeq55GVAEpSlVLUd0Zx3FUw66cFYevTRhnVEpUSkGi6MS1s0hoiVQqddcJMmy2Vw9KE9IRiy5lpSk7qUybLWnoYdaxvdiAqFze2UqVRKlJqYyrQL2c6LqMWIPpLFL1+0qIdrZiqW7AzXsWBwd47/H+NsNsweL4Osl2JITzy1UL4HCIn2NsYeaNFsPtqFNmDJRNQGKhjBFbC6FODIeCMRUxBWM7/FCoTOxCQCj6fdl8pebMbWG5KxtFGhJhpE2jzT0VWtaqVQEiFWwkl0o1GaqlYnTSsZrqRkoqiiqVWi0ZT5GMoNNQc9qHmlRAYyokEBMx0eo9UNXtMueMcbosFm+w1lCNg5IRn/Rnrg5THaV6jElIyW2/ZfesO4eiBVqw9WfeFXxfwZUdRVQPhx01szxV7F3LRFDab8aUwlQSsmNsNq8fK6LGvLUq5FUykhMSRoVxaltK10JpUOVO+MYUofkKSWPcWCJErVn2T0AZ+8d7lQSbJ2A9pe8Uc6uAcRQ0daaalgDDjjOrNEonQmwUsto4r2Kf4tfvxrWnGBy7q2/jUsqRPG5wMVNDgKCsA8kgqdLljFWTboZiqKXSYylEisk8946X2djEw/U5L8htTcoRIabEnbNTBjEM3msEYM3Y5QmD6TBGbRmctdw6OkBmGiF4mAKX2w2bzRk38dz7mZ/jO//sv8G5d7xuIlKE5SYRppGNGF51Vx1H14QUtqlqj+cLbpycMAwDhzlBNdy+dZ2bLz6n1D2j3VSH4ELEiWGce7wY5tYzVMFZuBwnnl0e8ejJY+h7vnj6hE/+lb/Mpz/9af7t938A7zrOz0/53h/4AG979pP4s0cMKfOT/81P8J/9jX+fd/3QJ/nrP/V/8uz3f4L1u97HbbnODaP5tw/Dht9zI/0msfOEsc5inVfDsXHkYrVhHEfOL9RTfXHtEDGO3FSUNPVgLVF3NkEZHSUlxhjJkrFdp1PCdiKenUOIjckk2CT6cKlvRlMiCpvzUy7lOhwdUi5W9P2EqcJifk6tgUBmPD+nno6M9x8xHtzVSZSoD3xGGTpVGD76XXzwox/j+Xe9i8sxtDxUqxNKTIjtwTr8fEFBO+tUVB86RcFkwSSDJMFkgw0Fn8FFwRRBYsIGnSSscxg3UWeBbjFQw0ScNrrsnA90/gjBqpioCJNBqax1pzY3ar7VEtQQ2wLb1X3AAM56DSHH40OmyogLHmMCJoHUQDWVbKBko7TgIqQCuVpl10nVbNsolKiHibEFyZvW5Rfwk+ZBCEjO0HkkRyROdD4jndeakZVC6judipCryNC+eecYFDO3Igy+a06aepkKs6o0TkG7fj0c2iK9Tf+1VqaQlfgBuKrcu7TdUtqBKI49i5BGmS5xUpFZCtQY9BCqQE34ccIEVVebmCgpIlHT5EypkDNSC05Cm5iyQjrf5PUtUehLitTNY8T3lOgozoHrKChkk4wGeFv3FK9eVEhVYR/KUHYyM2v3b97u455p8xSUY1NAUkJypmzVI4QxYqaqHU+o5FRIGTVGimAnsEWIubLZXrCdGdzxkvM08XhzyTNZmQaLviOKYbXZ8mja0qfA6vQJznY8jpHeqppw6bX4lJwoVMZx5GA2YEKimIS7c5fFT/885195i/f/1b/Er714nYsp0F1oMDhS2WzXiDF45+jEMDjPjeuHDH3PwTAjTWp8dZHU8mE2m7Ex0M+UVWIq+Fx06Z2zZm6SWZfAtlRs1fCPcTshzrKJBXvthM/OK6/8xb/IL//8r3D6xS/x4VfeybXv+hBffPB1jq4dc2QG3vHJf5P//Hde46W04KV/7z/iNFWWR8/ho8GYzKPVGQ/jBXfyOS/kAec0cxZj2DQTr7OLCx49eqQFfjajWywY5geEMKobaCmEHJg53/zlKzE09lROys4ywjD0HMzmPHztNZgipolisvdIaNOjc5SiZlKb8ws4POb++ZrDD3yEi0crpvAI6HgSXqW3R9RsOPGe4ju2sTJ9XUO2fWcZZgsucoJrJxw8/wKf+qG/jFsueON0hTu4plNJv8JYQ4clkDQ2zjYf+5oRkna0tbR90YQpiRo2zKx62ViZoCRyGJGVtqPSOYy3CkXFgJ11DIuBSsZO4EqHdZ5cEtY4xHucEZIYIuqlXoFYK1Q17gOjHi6l4Jxg6qRUH9/686zpVFagsy1PFUcpVlly1VFTJiSjiW7FYKsnV/06ucEYpRRM1T9Ta6YmKGWi845Y1mAshIyPMLqC6waqs9RxSzfMMF3AWHdFs8WS64a+77Htc511+Nwai502Rwx9qS3isqXNtSVsbHYTtOawz0Km7XRKhpqYpYSUuGcCWisEl7TrzwWTIqVkJE7UaaIUDdapOTFsw17hnKeAxqCVnVOLYv5AydumO6rIn5Cp2R/fVQtlu0LSBF2PlF67K5xGjRmHzkJtUdI4wuxUauwMixqGZv0f/hK1tgUSeyjHah6YGmW1SDUbE6SCZEGKwRQ1/CeiqUZJu6ecdt1PwfWOtanYzjKOI7ZZzlIzm3FkPMhMU6SKpbeWJ3HCR73BQsn0ziIhUpuyEAYAACAASURBVHNi3G45toZZKdy6fo3DYhit5eFv/RZvfMcrmOs/gHOO+cEcmTJO4JbTbsU7x2I2Y9b1XD8+ZvCO1dkFjBPeGMYU95xfIwZnhCkGpOGJxluQimk0xYLCV7vU0wrNVMqQgP7+OeesuP19383hh97Hr/3yv+Dmz/08NxdLvhxHXjt9xPy97yC+9/1c3LpNzg5fC0s6tjVwkQN3t+ecTyu8THSzI7z3dL4nU5nWGn23Wm+YxtDgqZ6hH+isI1WjDpk5U3LBmbwXweTdfqXWvdWv92qhETdbTKMllj0jot0obcnnAMYJqgU/4A6vwXMvwZMAMbOqEdtVjBhsGfDiMVHohmM26y1cnLFZBfCWD374T/OOD7wfZzvGbcAaD7Xd19LgADFNlFRpVmDYpg6pTRJPzdhmDGaqHsYaYJKpJKV+jo3+VzJki5GsnjwG8ILFq72tpL3uRGzFWkPB7iMLd91qRSGeVE1LZlIWeDEGazzijO4eSiJZhzWm0aJVNbtT0OYqxKI89FwgV4VEdGKxZAypOOWPS4sHjKozqAn9flOlFotxBjMmioxUX6mlIq4thDGqyWmmZ9I6eitebX93lhm1QsmaSS2yPwBMUSsE0xwtZZfjm1WgtIslLFkP41q1UbSlYHLAZO3Kd941Yqe2yFV3UXKBMEHY6sSSdMkq26CpUTljwtjw+91i+AqVEMbGs+fbr9BLipjHb2F8hwwzbD8H57HiqWIwtscYQ293MnTZh+uqd4UW+tw6+1j/MMfmaehmv+nPmZojrhQIQTv6KWNDVZOtaCil6iIkgJkEGwxSII4JXOVyE7h2tORO2OD7nvOzU27cuIFNaiZ1dHLMOmVWZ2e8cHiN+XLJNmn6UBG4CBN1TMysZZ4rz9y4xgLDYrnkV//Hn+DL/+oz/N3/8Mf5+3/vJ/mdf/pP+MF/6/u5OFjwte2WG4cH3J4yR9ZjrWWxXNL3PQDnZ5ecTxOXl5fcfu5ZQgg8HDf7Sca0Aueco5TIqm31AQ6MvsbZerJXrLxNoOTGV9+myPhwy3C0oBNPmB/w7Cd/mHe5nmPreXi5Il2c8+Zi4M0orKrhPfMD5jPhcvWYL69OuYiB1XjJgXF8x9EzzA4O1Vc/BrbTxPnlBVOMXK7XiFV66eHhIV3XkXIkhkAMiZAmRIRVTvTtUMppl+0ZmUpmfrAklcLFo8fEyxVdqWDUIx5aE2CUjJ4oJITu+BYh6+Hun30nz//wyyzGUx4/fMDjr32Vc2b0dsY7nnm3wg7J8OKLL5JSxE2JAtx88QUWz9yCznOeA8VZlp1nEzd03pPaK1vQglhF9iyQXIwGSVcYYqamgjRaqSu5OVLqFJDLxHZc009NnJQspuso4imi1sTVCCZDZ6wqe4vfubrT5UqslcSO269Ffi2mOYcakhRVqzuopeCqVXaIdYyyJSeHiZoUVowyoDC67K5UQoG+VmKpqOanUlqQasqOVLwWRRFszVBgGitiWuynFHx0VIceaOtMnQfKGDRHtZuQWSJ7h7hGs915zYjF9D3OKJxjvTaDu92fWKt7HrH7acAabSQkZS3CbdpwSe+rnZ7DNPzcTBM2TdRadCo0QmcmdewshTqNCt2EiTqNitXHRMoBMxVcifvFe6U0ZlCbOAAopDpeefD/YTT6//P6lij0lIzZrBDf6wmaK8b3iESscRibwTicTXuDMx0jRbM/RWFQ0xZ5tfxhBeLTC9ndeBhiplbtAokBcsYkhWtqEYgGsoYvl6T7opIMpRpKihinHbzrPZtxi5VKCIEUIt5aHfEWC87PLjVKre/w3jOPEwlV7MY2rtrOc7JYMHeetx2fsL28JH7+C8jjR8xfeY5VD9uLMz7/M/+M7/gL/w7D4ZLlbMaRyThxWGsZ+p5U9Xt4dH5GTInZ0QEbKqerS1ZBC2KPMloAptV6bySG1W7n+jAjCSQjuqgTKDEq3zdmYslMKbF98QVGKrPTC467jr4f+I31OaXzpM6Rjw4xm8Qt7zjqBzCJ8xA4Kysu0pqxZoauY2YHZn6ut0IpbLdb1u2fnDPbaeJosWC5XDIMA95awnpDbgHXu/c2ZV2mWmS/rwHo+56u79muN2w2G32AvvHmUKzUqr0AxbDLA8Y4GBz90Q1uzpccDQtuTWvWH7yPTwWP590vvEe7zlCYLwb1gd8GxKoh12XJ1DJSvSWTySnQd56+h/PcFLzVYMWyM/a7UmQaKgWbBYoGmzfCl4p+ijSzt6rRgUm7ziRVl4DJqILWoKwyEarvNPvYGKQkyIKUpNMJO6uRq+UsNCJl6+qBJlLczXpCaBpP26jRVxa+Wo9y85WvqQmF2j+pasFPrfgbdor2nXWwWgITqxqeRe2mJUFOTRxVIDvNVhWMLnF9plirma7i1JuISm5B4K45sxTbwk2cA2Mo0rUYUaPMmYri8jnvvehzo//W0gp61GUqOSqzpu2GRARjR4Xadp180qBvplG/8ThhUyKFdi+XvN8DqEjvaqkLYG3eW8O4/79Nzf64LykZLs/BddBvkXFSupTtyMaSnVeZtU17EUrF6piN3nzyFCfX/RE/1k4aD+x519tc242kvOycMyVV8pQpSdS1NmnqkxkFCUKaDLlaPViM5+LiDNd1nJ8/4GRYkFNg2m4ZBs2yLMCT83OcaGiIqfDcbMkmRaJkOD7CDT1CZWEtrmR+6Rd+gYtHj/mx932If7LZ8F/9H/8rP/I3/zrDo0s+/NHv5Wuh8itvvs5L7znhoFbSkfKuVzlxul5xuVlzkSaM97jjA377y18i5sxi6DDAOG32vFyDYJxlcaC+NtZ7+m3CUtmUyDbBumYkKBPJttdxPp8jdsEURjbzAzYOnmyfEJzBWcu4nrDZcOv4Nh8en2BI3Ktb7uUVv395lxgKM+N5fnGL49khxi5YbR4Tc2a9XrPebrm40I5+Pp9z+/ZtDpcHeoDGyGa9ZtpsdVcjgnhLmiZiikrNQ6e+EAL90TWmGNm8+SaME5332BTVHE9xHqXeeQ8izMQyw2L6GXJynePjGxymjkU/5956jswnzHDIYCu9sbwVFJ/uvFDCBd4K25ly77uuQ8ikKbDoFwiFQQzWJcbNCvwRUgVTLVQVMUlBIbRcWv6BweVESSBJqNlA0iCclDUeMaZMysI0rvUZiEJOHWJgMIqXRGOoKeONU0ppLnQo9CLG6gQNytppxUSaMdwuhSq14GsyrUkSJGuAS62FTqAKWGtItewVzFrsm+c76j6bisY/5FRIUQs9VcM7HDpt7rjpuRhSSOQ4NeVpoOs6VmPGDT3GOUrXwzCB85jO45wj9Uo9ds7oktNapWC2jn6H4xenzRImQaNkFqtqWrJm79ai4qbURF67hjHGUfd/KVJH5bnHqDbVXVlTcqGWRJ0mJGdcDjBu91z5klp0ZimUqgeKOp9XxOniuIhCSnVQLYLdMw+/uetbotBXEcYcMDXhJGHKhPF6whpjsFlHqUvp92+M9+rNXAHfuoy+kS3H9sDsrh1EkepOgqw35UlGvcNzJpCpLepsJUnHVBGyKfjQcT0pbPGwq0wIt8RzHlYMtw/YAjfdAbFU1iEw5sc8//zzxBgZRJhttyxmM+ZWMdhnC0zOU7s5ZrkkG2Habnhm1nN5/x6/+g//d/K9u3zkb/8tPvN7X+Q//nM/yokdeMdHv59/+ou/xMHtZ7jx6AHX3vtBwgsnXHti2eSJRwS+dPmAbYos+p7bhwvckwteDIJn4Hj0XNrEl7sVnVtzmIXrckigYzw4YUgdx2NlMRY2uTIGIVlD1yWyuyDNEmfOkcuAyyfcHrdIiYzjFqSw7Hql8eWK2B5rLbMaeb3vKblwfrpms9lyfasj9Mz13F7q0jiPa8KY2YSJJ6sN5+OWi5Jg8BweHeBmPcYKfYms15fcmzZsc9qP3nUbsNLcPosQklIt576SVmdKm60JjGLcmYRIUXGOZNbOgZnhjcdKh+9mHHYHHMxvYYtnEuHxVDhgo5gwc2quTLUlInW6lHPZUnNlyD1QMBMYa+lcT54AIwRntVh3jq5qlF6ikE1QFhTaRYotmJzJJRNdxNbATIIuaE2hBMWGfYYahYNJIYaSwfcDTBU/WGxSseEcgwe6MOLsTP9fiRrK7oUxJvCOgCdUoRpHkNIMBdtytkgTCFVSMyVJRnB5IFOJNRGrIWalZVoxLfS6kkpmXYVULRSLqxrnGUJuYkdHbhkPpThiakeMSPMJ7iil2RJjCKNwIB0mCmLBzapCLB7wieoMNuqBUMwMny3GZMRlqld2kvOuTRpRVco1YUP4hgjInDNmJ7xrNtlSMylNjTapXbyNATuuIAZczpSa6GomRS3+ZZyoOVFjwjQEoYZGjWWiKdewxdBmG112m7oXiOVY1LzN1D0J5Zu5vjUKfa2kGNqLqhBCbp1jbXQ7rKGa2T6OzThLNQZjW0fXFH0igilPWSXsuVMG0zxTyFmd7FIbWYuKo2qt5AKMbQEUBZMqKSbGsegepUIQIebC6DyP1itu5EBICeObJS4wjiOZ5vfhHMvDQ+XGW8v5MFMKnTVcbDUNaSbCOgYuHz3mv/+7/y0yBf6n//nv88lP/CBn24lf//0v8PbLSz7z4D7vuH7CrZdepmwDgw/crcImjNw/e4wPgYNh4F3PvUQYJ75y92tchEA3t/j5jE0TmszEsxTPvD+kmx2wnQ1cbCa2qwse332Ni21g7E6wswXiKyfHng7PC35JLwN+a7lfVgoFeR2HseCcV7zSGDrbaXjJWj3i15eXevgNA8/cuo0VwVlHjJGz8zMerraEELgc1Td+OczwQ8/1g0OO5gt653j41ps8evCA84tLuvn8KpKvVvWy2S3cG1siG6Vnbi4v1cPG6H2jTo6icYDGIKbnsBuY+4Hry2P6bkbvF4T2oGM0/m+Xa5sLTaktCJobnAVdwtVdnJ2uVTXztN2PT7VhgtkvPYsiM99wNcYjhp09tj4rtnnc7GiAQlaWRpPS51yRlsQVY4RJ8LWSB13+iqkkVthgSMljO4PUiJnP1BTNgpqFg23WIVnas9HYbqVWjdpsMEXKgZKaND8qz5/m06MmgYmc1Wo55UzKSU3kQqIWIWfNjdjRO1MzfaxGsR8RoRRdDVcjqrcRUS+gaBAryBQpXrCdozjBWIvrHaP34CfSrMc5h/WertfmsfirzNjkjVo/7Lr7XWef837i3xnnxZJbbsJOTR8pORLWmtFbkv6ssSlZS0rkMO3hGpcV+jGNYpld24LV5oZZQWQXUr6TeqlQq/0KkW+zZawR9l7kVXKLG1PeugYtCJIFGyPGKg/WOIdvxkHOsudfqwrO7mGcXarMzgeHUpSDWgqSpIX2Kr6nxaJithmrzkjYXBEOSLEdEsZiq5Bi4s6Y2Z4seLBZsUmRw66jd4aYIpvVim4Y2Iwj/XKGHXpeu3uHzjnC257n9I17PDm74Oz0lM5Ynlsu+dKnP827n3mWX/jdz/OXPvUpnMx5crrlXHqufexjdC+9xMc+8hGOjq9hsho1uU3mc2ePyCFi1lteuXGbk8WS8f45j5+cc//8gvrMDabFnPubQKgFV+fM3Yze9WxiYSuVL3z1dzgIl7xydMx7Xjri9HTFegKzcMTDa5QZeCNcqx2zyRDePGXjL/F9z/H1w1a0tCgUNCzF1Mx2vWV9ebkPExmGgZvXbyiltBQuN2vNsd2seThNpBCIKWFFuDFfsFgsePbohFIz9+/f5/de/Sqb9RoWB8xmM4y1V0ElOw54UazeIFyOgXh2qiwo4zACIRfEGZJUrc7e85LMOZwfMPiBznhIhVICtrPfgJFG02ysm5BLUAw1FahiiaJjd29Nk8w7quq6tIhWVeI8nWC2MxNod/03jOS70Aurvn5YanNVVBbOrsDrZKI4PTVTkiWLEKeAc5ZsoUT1YSnGUOOG6gwUQ4kOV6N6wPse23XKWHGeQXzLOW1q9Yo6ZhadOkwpmJxU0JMiNU+QJ13+loCUQCkBaqQ+RZ/c4fRq/LbzqlLf2lLVrpsrfRJSTUufE8reELTSVSi6sKBKpkjBe6/sIKPBNeIE0znyYob3nmEYYFB7keqv7CiqN0wyklumb01KctibsuW8v9dKMpQQKCWTGi2yhJG42WX1RkrNuKn9XtUDUMPJTROc7RhHkEvav/O1GO0IjMEU/WUtOhlp0pVBw0m+zTB6LerpisLX8Cdl1bQ/IaKBuFV9sF0L+LYN01TMKiNFcHRXRlK1hVaU0h6Ouh/DJNX9w7qzO5CYMKW5LZSMqYKrcf+9WdPc/QQu08TJC+9gnSJjDBzT7T1ZpmlSoReFYTajUDg9P1Na4Lzjzr17rC7XOMAvlswXB8wWB3z4uz7Kbz64z93TxyTf86e+/we4O645ee97uMyZ2vVsrGVmDOM2UqfAalxDhmt9z/HiiN467l884nK1hub9kmoipzWmGjozUJMnFCHkwpOLJyxq4J1Hcw7CJfLqI65Xy0snL9PNZ3xVKg/xFGCT1HtkG1VJLFgkgUhRWb/sQh7UdTJO037KGYaBoev3svRSCmMIqngNgW1OpJLx1tBbx3KYcdTPWPiO07NTLp6csQ0TOMswKOce+IYijxHdn7RfF0wTLel7VnJBDDjv2raxIl3HcfEsxeKqqiVjztiZwzgHCGNVD3iRXUScFm5ToWJwphCq4EW79K4KRYFW/RrtY9U2dW+5/HSBbw3z/uPT1y5swnAVsVfbv4xUTYFqoRQZIBfEKplAg0jUMsfmqmQHdN9FckqgTILNXqfiYtWwq1q6rOyhXQihE33fLM1lsSjVs5ZILRHJUbvcHLAlNY55+/0cybkqDv0UC052yuamgZBW+HcURfUuN7rwrNKiCWmvY8uC3qVaVUOKKqATgZwy1goxJ7wYTJcJVe0tSIku++aP4zB4sqj9xc4GOJurIPrdLq/WSgmWHMseiqkpEbaBuNHCXkvSZW1QAzr1yTJP7QotpXXk+5Sr2kgmtI9Vp8Nc2/3QoOqd09fekvqbuL5FCj1q2gR77xIdUa+YE7Wd5rWqv3Uha56idTtHUOWXVtjlLe441NQmanjKPEg/KncZEaS2HM2qt7WO2xok0OcRi1ordOLoqnDYL9hQ+eDH/zSfkcTFxQW35x0WCDmxWV1gLNy995DnnnuO8/NzHj5+yGI25+yNLavLNdZa3vbiO7h5fMLcWZ57z3v47Fde5Yd//MchTvzID/0wb965w9FLbyd1nrDecLA4JEyJi5Q4PTsnx8iiFCyG60cn2OWCt07P+PL5OeebFcNBxzMmU6aJF6dHFDNw6TyP88Rpylye3WHGyHekU772v/1D8oMHvOgjPhnqNHD7Oz7Id/4nf4tf99e5KPBW2NKNkYt0yiwaPBkfMhRDbjXVWqUIxnEiT2EPryznC4auo+bMqkX+nV6c66J0GtnGCLmwmM1YdgO3j445WR4wrTe89vWv8/D0VA/rvmcxzIAWOkJV3/KGf+wWtMYYckalnCHSD3P6wXOxWuGGmXoWhcThfMmLG0/YRqwThqMlkxGmCuuYSCKI77DGMJW6L/Sg2LcpSu11IiRRH3Hb/NEdldo8m9QwTRpzTG/a0FgpgWY9IDoNKY++iVIrdK2DddLcD6vaZxsy3c5Gm6KQrjL7dJdQK2lSuCEHj6mirokuIdU2ew+Dc5VcIrYbMDEo48R3DLVvkFIlNppk3VWeBhWZnJFpi0wjddwq/jypGVudNtRpozuSuCGGHcSm9MmKGpTVqv1t3qUHVV1Aqv+OUKo0Tr/ZnbL6ff0B9GJnbF5rOxClUkQobsuUK9k56hhh7BWCHRSqqb2DvqfaskcGdhj9jryxp2UDdePIIZKLdu85RMbVyLSd9kHsUiumGChQilBr00p4r9bUFbIU7XON3+N6Ct0YcsvNFVpSGAZfEtnqz7/PRPgmrm+dQv/UtaOWtf/Yf0xUpEWKkR3YSi3amDlj9snrpdaGJUJNhVRafJwoRavW9qBWSKiEPjZWAVaQYhuMk6gFbNYusaJvnsWQwoaDkyNOXniGh2+8wdFsoVSsRo/ajpPi0b3j66++ynwYKClzcnLC/Qf3sKVyvDzgmes3mM9mzIzlT33vdzMYw1QiJMerZ2fkvufy4oLlbMnBsMDFinc9rz58xOm0JZXCTeew1nH75k2+eu8+rz94yIM0cRFH3t0tePtsxvmdN1k+vsO2GGI/8aAuyP2AkcABE+MXPsfs9a9zw3meuTYjX2zp0xre+Ar3fuczyPd8P4LHWUuVRDSRITiKi9QpqclcVgZPKUVxyZzpB0+x+jAt+gGAMI7kFuJdGz66iQGmAF1P3/cczBccLQ/onOPh2TmPHj1iO25hOdDP5wzDwDroaxyTCrx2naFxrvmN65ts5kv8vOKMIWmbx3a9hpR577PPM67WyDaznM0x1pFiwlp3Jayz9soNE9jr4tnde9qtqT+O/n5kdw9qQbLC/mc1YvZL18aUbOYq6p9e247DNrdHby0mFawBL81tEl2LyK7a1aITqDFYU0lJfx3GkcE51X5MaR+ko8Ko1LjjlRwqpnoqyiApxuJybp4vgrNCrpq6ZqS5U5asflEp6YRdGwMljNicKHGCNGJKgJyUpZMLlqy7uNIogrUhFZj9YqJYZdJBWzo2yqPoKU7evQhyJYKkTTP72iGC+u+A6Rw1VXLJJDLGJH1fQ9IoW6OZrNUJxQrWClny/u/eTaWgzUUXHdOYyFmzLHIoTNtCzY6aRR0m9zh7w9pbMxsjsLdc390HTWRWlHJK+9HUl0drm9q2F6SavXDtm72+JQq9HtBXXTzoYmb3hu1DAWwbdWBP9XIt1zGVijXK6zVVx2cEsmnJOKWNeG19tbNCLsVQKORcyFKZiopGsqlkY8gC85pIVf2/5zYyVMPQe977kfexfO4W7sF96npk2ynumKPmeZaqk0G4OEPGOTNrWHrH3cs1L739ZZ65/SzPX7+xD0Y5S8qlDdOGlAMru0CM5frBgoN+jgNWZ5esp4nL9ZrTNFE6z4eWhywPDnlyseZ33rrD/e0aSmD53C3efjRw5x/9A37rZ3+W93QXnGeL+fifp//4J1n5Ld95suD5izW//yu/xIdnC0KBrx0uuLVY8p6DhFjhn3/6p7n9sfchZslydLDZkuOETRY2iXG1xTNQO8sogSJq/FaL0uusdUiFEFRYMq43bMPEFCPbMLFNkUClm2nHf+v4hBuHR+SceXx5yZe/+hXlv89nXLt9m24YKFPZ8+hp948amxWMaIB7ARjmWBOQUomiCUSzt7+dcv8BL54c8nIybC4D89IpZNeapF1/8TSGXoGyX4o+/ZC1KbSUPfNn04ysfCvOBhDT6JMGdlFzsWi0YVLoXgsr7DUfVgRKxYsO9d5oaHSWll5VNXVM2M33LT6PxjDLkLaBmqpy6ZPTvUHVgJBUDS5JC+GJGO+oLlFFyL5DXIB2OBkqNhds87yxBXaBL6ZGJESYtso6SRN5WmPCFhtHSor4ONE5/d72tbiFy8SiRT5X9dep0gzDijTjL510sujza5tid888EaGiexFFsc2+YFoRyghkLbZKZ9RlpusKzhVCUDPCYg3OOWXnyJVnVmoGeCLqQOqrJWz1/otj1GVt0CJPNuRsoVSCa9qM/dVusKc/J4XY7mPzFE3cGq1jtihGL6ImhVLVs6e1Fd/U9S1R6EHILW6sNCyyVtkd1u01UbFI++N7LC0ZxemrASm7VPenPKWrOtOVvfOl/v22YX8ZSFUFNKUtmHSMpBkeCUYykxOiLSwE5lnoa+bD3/UhfuH3v4DkxNuOr7Ot67YbyFqExpEUAl6s0qwut2wePqZ2hre9/DKz2Zy7dzVjvYpRBaMIxgvGDVxrQqiT5QFjSqzXax6cPmI9jSQjzDvHfD5nuHWTMSW+8HtfYbuZ6FzH8pnrHEjk+bLl1/75T/OJ3pAePMJUy4O33uTICX1neI8vvPYrv8z7j07IL38H7/7BH+L6B17ibdPEG//13+GwRi4fvs67TaXEwHJyHHTH2OPK2cWKEgtpq7h5mRuiKfsH1hrFEg1688ZpIofIdrMhlMwYI6tpZEyRKPDK/IDlcsmLt56hc47XXv0KDx484PF6hV/MOTg+5mCxIJWiGbApgejCrcA+Qcwasw9zSNLpmE8mtMO/WMN3vu1F3tktqL/2m9wWS5l3+70QNMGQXMH7lR20IvubsMjuwVTvdcXvC0aErdVdRUaXmEYE6xpjwpg9Pzy0v64BhwpXys5Mq3EtRHBNAOXagWCMeq0onFOb0lphCtfUqBRd8unB17DgTqeFUESj7Yqh2IpLgu2dduhOdwmSCkW2FBq0ROucjUEwysgphZoSKau9twkbbEq4NGn4SJpwKVJrwtUENarHvEMDwtEgd1sgViFXXcbmQsvKVQgqF2kdMkDVrrlepcvVNsUXrnDt3fsUAVc8KdnG6FEev7VWtSG24lNCJFPFYy17zc0fLPSgHX2aVntn1Dgl1WJUQYraN0hLuct7+ABoi3pVvV79N9CyfncTye6T6nFfSjOtMwp1sRME/nGGg/+JXEKjTLEXGZlGmWy/3TC3dtWKyYpRmao8UylCbf6ituobpb9VGwZfm9Cg3QxiaFYouKI3likVW2rrsFW4YVuLZayOrwXwteCN8GR1wVmJOHtAZyyrpvpTZFFpZPnikmw94jyEyPbikuHogCCV8fKS89MLnFgO5gvFBL1lsB3GW46CoXM9s67n9csLHp4/4cHlOaVmhmHgxnDAwWzBec1crNacnp9Tk8WLZ0iJnkjZnjGEDTeWc/LhESY73rjcsOh6lrOecPerjG/dI0+FZ7/n4+QPf5QHZcvtgxOmbFitttSi1LFSPCFBdIap6ynpTCefKZH8CEEoTpdqFi32rtETSynKUoiNvZDTnsGQSsH2HYfDjOP5gs4Yxs2G0ydPeHJ5QTbCYrFgPp/vWRA556Y8eHDhtgAAIABJREFUtOCsBpBAY9doF1VRLxpxKjrSll2NzA5mB8h6xK9HjmcLzp66HXcd/Df89+5efKrQi3AlLHpq6Vqr2igoZ1+L8g7Tp0GEtQpI+UM92W5JuxspbPs6aqtLiw2UvZOrobSFcBP2mopt6trcnptdXrIejAUfPRHa35FpcLEGcNf2/TUoIVcNd0mtxOjEoF9ZM5VBYkJQSqGEQE4BkwImF2zOmMYMEjQAW6S2MKG2nG4HcC3qf5NrO+wqGtG3K+alNv8lUPdyUTh2X1RpnT1Xe5Sqr4Gthlz1vtD9sHb+IrntRHZMqIK1sk+P2sU/puYUqa9jZtxmrIgiAbFAqTixGi1ddsElQjZ5HzZu0GauZn3vTbFPTYh6Z+jCdQdX6w9rMU2DrL5ehZa7++22jK2gkud2I+joqouL2rbw1KpUx93IVwu2Gv3YuhOTZb/M0rCAK2bDbqQFvYky6i9di+JskpRyaQp0u5sNo46YRg3zrBW6KnQZZt7yj3/1Vzj+dz/FCXPO33jIZhb3ejUjmhXvFgvS3QcE6xjmc548esDw4vt49e4d0hR54fqzHC0OcKUFbRg9qCQW3nd0m7FkfvsrX+Wzb73G2kB3tGQ5P2BpO952fMRRN/CLb73G6vSCXCsL65gPC653A88tD/nFv/eTfORwRj1/zOpsS+zmXDw558Wbz7KOG778L/9v8mv36K/d4OJd7+UfvX6HV45vk+7dZfv1x7wyq8wWnikkGHqmYcaDYLnj5xyjlsihqu2CZE+tTm/avcKvsInq/JeniZqUk7wet0w5K8XRGBaHB7xwcp3F4QEXl5e8/uabvHn/nto4LBccX79G13WE7chqtaJkaYIXT3FW+dqlUHdLtDb+Ouv2kXvRA6YtUGvl3ldf4/vmB5wU4bTdi09DNc11YH8VlP2y+5ypTxX5HeWvfS6KPthBlOZZDNr1m10zU9uje/V1kW9MQtt7mqAY/35KNXrApB17pTlG7qmIT02zqSgsKKW0nGP9CqX/f6l7s1/Ltiy96zfmnGut3Z02+ttlny7KpqpsiSoEQkJYQsCLeQDLLxYGS36BByQesPgL/ITkJ6SSeMACgZFAon1BheiMMVCussl0ZuXNm3m7iDgR58Rpdr/WmnMOHsZce++IG3nvLWSk6xU62nH22e1qxhzjG9/4voAj0/dKFRw+ZuoYbVH0Nr/ifEWUDoBWMxnDiXfZcnFhyzHSuQyxI203xrzpN1RYFejSoKve4UMmSCB4GdoKVjElQcVgG8n2/XJW+mHhctYP8dmUNCXLjnUymG5DgawQBmvRVCAtl22CF4akMZFzbwJpziHBoDTJ9Z5uWRZJ4AsYfRcLBVOt6ghSmqmFARgKoJa0Y/CichhryKFk9YDuFoE+GtdKtTjZAaEIxmUt8bEgG0NS8cfZvhGB3qkwTh7ETHYHMY9MGfNWAE8I/e7giQi95DI4UkpJbId6Ig5n9x+Uv8OWivWXS0oXMykrXRKSBsteRNDgS0dcOAYWwVGrcD85ss+4sOafnzh06viDTc/Jo3uMF1f0fY94TyXYmHfcUt2f0a/WqNtS1YHJ3Q3HpxBGNbMJ9LqEZsy27zkZH7NYLmnqMX8nbbhbLvjxxVOWOTMeTThtZkx9w0Q8J0f36ZdrRs/mpLZlWQmpVhh1TBPc81OerwJ/68lvcvz9CU9+7z/me5Nz/lTOXDwQXm46fuPyKb9zfsp/5zZMmorfake8+Og5N/2SD1nh+p7H28AkwbOkpBpOaDnNN+hIyS4TU8SlilF0xLWSPRCsatqmnqaLJJSlKr2DuVNWoSggZuUoBD4YH5FORyxd4vObS64WN1TF5Hs6ndJMZ0RVLpdLWkxZdDZqDDvuEx5TCJTKIbXQpkhL5FhalrlmEj3vUbOpMydV5rc//oxwcUHrK34xHlFlkyBI2eHU4wmGhWaP4vFFU2nr82s8elRQl3GlQvSVBZ1G69351pUuoYjRacTtz8derPHvPOarKjBglA7Fi3236BQvatOyWREfqX3Ga6SmRWWDY0MbCh8+COqB3tPRkNVBMgOcdgn3U8IHQTSgUfCdQBJ8gKa2KkRiv6NC1iWzTyijYNdJX6zvVJXJdkuOHandItpT5R7NEddvcLnDC4TKJs2di+hALcwCGvFBzGoQC8RtF8i+eM2q0Gc7V3I2hcmULVkb4U2ATQ3eSSVJEy2ZLxYkg+t3wZ/kiH3B5Htf5M1NX6fykAaz9sROVybn4XjKDv5NqSyaOROdM7hsF2YUVGmy2y28AwyU1MLuIF6nqrQukAZ8vtROtSoVqRBCDG1ok5gxuzeW19fdvhGBHsqJL4K3NLw0JAZjXkNPhyaFlpOLwnHVwnvNha0gZSdrKVkP32NYpXPOdmJk8xMFywycCEFNj9uXlXMsjklhATSiJDF5YYk92neMmmNCNLbJpm3JOXN0eoJ4z3q1omlqmlCxvHpJmzP1+UMePBwT6hoVR4yK9pHgK15eXfP44UO8C/zoj37KeruFrHz73fdomobKezRlHj16zCfPn3H5/IIXizkJpTo55vjslFkzQlBuu45/+d/4y9Tdmrjd8Ox//ZvMtxt06um2WyauZrtc02630EhpigldjIS6Nl34vt/tV+C1/Xz+4AHLzZLYb6nqmtj1aFUhmolFRyimnlhYMapKLM274Rg0oeLs5IQHDx7gQuD58+d88skndJ2ZYYe6ZnZ8TMyZVbtlu92imqm9TUkH7839SjJRE13uGbKeynnqqmbkGyYh0LgAlXLWJG4urzjebHDHjal2hlyaQXbx7bF6i8zq1FLPgp/noVIUG1Y3aodlqXb+DliPZZrAfhJKXs/H1IkN9pXzLVNgleLPOjingS0wO2jTld/LhCzFsm5o1Q2ey1JololkvHovbFvFRSFEZ3RYl0kpEDzEyvRVxClR98nVAKt2bEzuoIhv2Y9Nh2oq5hp0JV0fKvTSsC5NaF/mDaQE8qwGSgy9hFDbde+9DZNKwaljtkAXowX6PlpzUgRUMjuPioJ/ZxxOUoFpy7EVO8Jx12W3CoBCihioryasVqp6Hfj6w2WwNyzRknX7Hc97v/V5fxxUh+AuhWgyBH8hql1/w1CYd4Dz1s+wg4o4yMY9JJf3/LrbVwZ6EXkf+BvA47JbfldV/7qInAN/E/g28DHw51X1Riyy/nXgXwLWwF9S1b/7pe9BKVN3P7rD2indZc1CotiIUZg4WUpDB6OIpYRItoPs9ivpm9sQZGI6WCiMtUbl9x9DS7k8lsi0MHxqHFuU4ARZLZC7W44endukpQtUVcN8NScvFozHY0bTKetXr3B1hR9PyTFy/fKa73z/1wihod1ENn2H85GctpycnDBfbnn58iXz9ZrJZMK3Hj0yidQ+Quy5f/8+t/M5P3/6GZvNhjipqOuao5MTpqOJqWQ0DR9dPGOGA/WEyYzThw/QtXL+wfususzxqMJnxePxZNp2y7wXaGpOz6e88/57nM1fsFgvICbUl+ZTTkgQtILcC922Y7nYoH3F6ejcFk6XQRMp9tacEtk1S22yMNI0DU8ePebB6RnBOf7oww+5vLxk1W5xznF8esLx6SlV03BTxNo0RgieWTNiPGqofcAHhzjlbjnfDZ+MqsqEqlBmrmbkA5UzC8B3q0D76hXBFVNt72hfO0P0oCN2eKLqcE3sbstQvk27KhCK4uEuKsjutRRKQ82SCrvPGdBQArYTMdYJQ9Vg56Zm49/v3rcwd3AWwJ1k1A1YvuH5KReoKStoLuY2AjEzL9TGOgyBN9H7SPBCcMNEuuK96UINWyrZZkbJOe4C/bbfICRU+6JgGY2v7xSpyliv81Terk0tFbgOTe0S4PHFmDxbNR3LqSQZXNLCuTcT86AGj2kJ4qmQAHKW0rNxxYHMemxaZiwcZlCO7hdyC+AW/HfQt9tzsTM6JOnDHxkCdekDc5DO7/dXDEbp3Z1awyDncErZ773LJTmQsp+VmGxy36mQSqIxrE3uDVjxq7avk9FH4N9R1b8rIkfA74vI/wD8JeD3VPWvichfBf4q8O8C/yLwg/LzO8B/UG6/dJPXAv0B3KJ2Edmi+non/LWs6KAMyiUzO3ip3d/hMNDvByCG5pYvWiADf3pgNdSihCQ4lxGUioDrW/J6TV06+1VV0adEFRo2mw0iwtHREdvbW3KM1D4Y5pct4+u6jm1u6WPi6GyKOGjGU148u+Dmbs75k4eM6sboYW1H4zzj2ZTpZMLFy5cst1trYgcx/Q4fGIcKAZbrDT2OJVbKBhWenBwTXWT88AGtUoym7aIw7LylTQFX14TxCF/ZCPig2KdhP9GYVcnBLpSUbaLV4YybXRgB1tIzvZlUnhML5kmybP64SA9v12suLi5Yr9cgYp6poxGhrulzMq/YGJGiQ1JXFePaRO6s8WpwnPcDvXBgTTkrdYvRihAZp4SLPaNmQquRyo/fCPQcNNAKE2KX0B8GeXYZt5NBEkEOMvZ949ZudPccLfAjheYoortMUg/oP7v3w+0WSwtWZbHYRaX9O9pg/cDfLxO6WcwasJz/ESU7m0PxzoBSdWZqPTQIHVpGxAEp2aYUPR3K4CGDpG60qV1nujxu109wOKc7/4OqfEJXvlcumu8mT+V2/YvgBhijMImKf4PkXHoEliGTxb7H0JNTIZXp7IziklqQzAHxln3bBHepvgYZgXI7yCQPQVXK/h4W3yGP18LnHyx5hsrkza3TbHMWw1EqOYRyGLOGP8ouGZBhMIwBPhoqKhsaM9z+C2/3K7evDPSq+hx4Xv6/EJGfAO8Cfw74Z8vD/iPgf8IC/Z8D/obat/g/RORURJ6U1/kVm+G5bsh+xChy5T133NJclrABfhmyjsMgr6p0GHvgVwd6a8R2yRokImYYLGIZgxdzbq+cNc+q4Jmp32U6rVgWPF5v6e/mjGMiYjzw5XbL7PSE5fM1i+tbRu88ZnxywubujiQOX9XEVcfids5ys8FPJkynx9ze3PHg0RNeXd/y6WdPuX//foF2QGPiaDQmIJwdn/DixUueXjznrtsSmoZH0yOm4zGnoWamjj5l7rYdKQsvrl/xj33vu3TrFUenR6TGUb//PlcZZNOx2mxZbFuSb6HdkHKDGx3Re8f1/I7p7S1xu2Gybcmu3+GKfUrkkWd+s+Fmc4evKiZSW7mOpVsOu9C3CWLObPtIFyM5Ko8ePObe2RnH02PoE5998jnr9RawgafJ7Iizew9Iqixvb1nMlzjvOTo+xjnHrBkxHdt07LbdELN55PrgC9RQWBKu4khNsjaEzAThfL4kx8TxccOzZYsfjQmiBTRRc23CFBtt6DwX/jZ43QdaPQj6hrxYhi8lKy9nm+0PGaa27fw+XDC86MHvJduTvEs+dsFcDXMemDfOG8SIs6lY8RnvslW3kgnqSJJQF4xCLOxgnM3WzvvKW8M8sOf7+yF8qTIO6eB7gPhBTMwkRVQha6Lytp98cLhggTY4wfsy31IkCYIYHDFUJ2mHWyvO6+4aHgy1q4K7a9Gs11ya5TZCQFcqFyiSx2rBPKkxhrIfIFrdNdNRzNB8gHOGwSww2ZLd6+me9aID70VBTVnS+QG/N4OQ1/nytqW8Zz0N187Q13C6j0tOBxZX6Y+UprtzlqC4UhTtqs3X+gFfvf2xMHoR+Tbwp4G/AzwagreqPheRh+Vh7wKfHTzt83Lfa4FeRP4K8FcA7k1H5FSMBcQPu/MAAxt2kGUCZYa1cNb5wg9ATHs61PDzhTFmheysqWFQj1J7YwT4orstosZFBir1ZG9YY3AVpzris6trQuqp/ZQQbJWtxHN8dsb87o7Ly0vef/dd7qqK1c0t3ntiJXz++edk4NF4QlPX3Ly65ixGPvroI77/ve8RQmDVb3E+UDcBcsZXNYvFglevXrFcr5kcTWlmU05mEzM29oFGIXeRbtvSbjY8efKEWVWzdltcyqy6yHe/+x1+2tsofUyJl7c36NmIuFmh4hkdzViu57t+w3g8xokwGY24XURcCPQ5sdgsSZKZnh4zGo2Qqmh7lwwOEVLqCeMx3Xq947475xg3DdPpFI/w6uaGVy8vyZsNNA3HsxnT6ZS+qAWuVuaJW9c1o7rePb/yRqvsuo5Nt3mt6TVkZkrGq3H6g/dMJPPpH/whf7KpuLu5oZmdst1sYTyClA0D7aPhsuJN8jZnM8Bxjq6IpQ0VaEZ2MxnDdai7JMOy1yFgZ41IkUOwwD9AFDBYClogMzepHG2aVLIap7qIammM+BSLIfxAwbSpT1+mv70XCkKN6UiV5EkscLqiu5KSyUQqQmSAfVxJtoQUW3JOOFfIEn0yRINBb8cgh4ya5O8AlYg3uqfEHT4vAs4Nga3EAef2SZjILvBL6W2kImeSC3tmGKzsNZNR6iqQk1WKToQkjpws0QtAKnICq220+OEEske8IQUpW6DXMog0zEwMmxFCDGfP7M3SzTilNM29sePfNsA02EMysH+UPbPQDXM6YjpBUuQxnJ0/vhwD5+zYDeKNw3aYvH7V9rUDvYjMgP8C+LdVdf427Ht46Fvu+8InUtXfBX4X4Dv3TrTXypx/csaLncDOHsig1LYvY0sAh9fu2712mYy0C8l28mAwcvB9qIJpjgRnP7vvVMSFSFZKbV0A9fhsJ1IHBDxnybFcJ8Y9bD2EqqEZj5nP58xOjgl1zfXz5zy7uOD++TnzVzek9RJ0xObFCxg1zL7/fW6vr3jn4SOeP/2MuvL0saPrW0ajGifCcrnkwdk5Efjwww9ZrFc2KHV0TGhqRuKoxDNRoV8s2WzWrNs1PjgenRxzX+DRkye0XaTyFXc5Ml+sGGlksdowa7dcXy65t95weu8+N7FH+o5qPCLeZXzOtMsVaWpc+hgj2QubStGjBp9sRNtXppKoZLbbnkQmNDWv5iZP3HbWlH107z7vv/MeXoTPfvkJVy9f0m1aRuMZo+mEk9kxVVWxXq5ZbtZ0Xc84NMyaCfenx6ZzH+qSmWXatmWz3TCbTXcYtarRC1scD6dH9OLZpDlndc1ouWQWI60IKUZEHD5HcorGDsmJnDzeJ+oU6cXjcgQNBLELdmDA21yGnadvJuCl/jRmiRjXWgyq3g27FOqA9anUtHEkmiqk5IQrPqUSMy5lgpbERAQw/DxIKoExF6GbSBJBvGXshoELEIyRkiH4CinB3hewJw/Zsuxdr5xWqBpdVfAWGKUIqTkb7/eiZF8cpCQZqcGbzsyO3Dxk9EXMa3etHQZWMRHCoaMhIkWzx/jtIZeGaxaCWuUSiWSXbRZGYZA6yWrN2pRtP+VRtQtDWe01chqSw1QeByn70nh3+EGOIdiuzeWIwcGUvshwBrw18DYHoW9PDd/fNzRq0fRaH8sLBK8El8utKZdWLtv/nRD+YcsUi0iFBfn/RFX/y3L3iwGSEZEnwMty/+fA+wdPfw949mWvr4XaZCeGEtUTSpYziJPZxVSaIwV/HyaerIUxSLcWHEuNhzvs03zQ5bZFYu/+PvwMk7CCO8DkIKkp+uVsOhhRrCNfq6fqEnU2bNJXFaEeEZqt6dD7gJ9MSPM56/WaejSiSwk2xium9+SU2G5WVJVjcXfHbDZjOAOdspOBkCown8+5Xi7IOXN6dsp0PN5lzt55NCubrmXZbpHK48cVdSXUbc+Jg6uux0tg2yfarseJskXZimUnYwHfVHzebgl9R11cskTVtDsGRT+1iWQFcmWc6z6bBgdqWXvUhAQzZ+5RsybMmcp7ZrMZlfe06w2vXr3i7u4OTYm6NFebqgLnbEHpLXMdNYE6BGrn8c4zqms23ZbNcsV6vSZmqxQGSMUIt1beVxJQr1R4pk2F33SErEQnBfevcCnbdKMUX1aJSKrMis4JmjLiIsF58kHpnbXAg6r7xJwCrzAEtLRLXKTgx0P5vsN4VQzbBiQVpdWUYWh4Jtv3TtUSIsXmPyiG1ZpMa0fMa9A7b9eGc3hVxEtRf7Rp3Qpr9KoOgWYHzuwGfmw4yVQUffkuqp6ck5lpS5muFTMyt31vDYZKi5rsDqYa2CfgzexxJ+KWsd5YUus7eLBO44DFF2hLXSFgFHZcCQWlqirQDkIsLW4pr4cKdeGwZ0rVJEU9MlvWb3r/JbKDMfYYZC32Foq7ETf3etJoMeaLgdftXOfL76Xi21kDvpYwH8LNtlh6Z5X3II/hnZ2PZgr/DzHQFxbNfwj8RFX//YM//dfAvwb8tXL7Xx3c/2+JyH+GNWHvvhyft13b5cqoldngEmtuWDkkJVsaYJesr6vJ2X37//ea9myaYds1RGya0jlnuiGlpAylpHbqINtgyPD8lY6ZWOeR5EyhMGdllgN+0VFFtbHpKjCdTqmaho8/+QVVVXH//gMu+57Fy1ecPLhH0zRsLi6JKuAyl08/JbvAqxcXaGqZju+TU0tV1biuJwPj0xOeXr/i2cVzmI6ZNg1nZ2dMfECAtYPeeZZ9x3W/oa2E6uEJofZs2gUnKtz+0Y/hbkmu4fPrK5ZH56hT0vERV9cvGI1rmq6DvuV6lQh0fO+dJ6RP/giXYLlYmHlCSmxToneJzoOryr5KdmL23dbK6Kamahpu1ytuF0sAJs2I89NTHj58xOXFC26vb7i+fAUpM5tMuHf+gNDUpD6zadfMb+7YbrfUIdC4igaPtOautOkWfPzsMy6vrmBUMTuZlea5YfXD+eJ8QNsO13iq2iNty/F2a2zKUUPXt0x8RerNqFkUJEScgnc9LlZFstfqbl+gu2E8UyhNsQFrHU43PYAOdwwbG4YZfgd2jBbN1sxUEsTeuPJ9RGLRMI9FDrfr0RjRviXkBCniTScAlzNRerxLqLcAVwUFZ0qIWj5xyGpTmTmjYp9fZa8N0x/QC7M4hjnZwrXBOY93BuF4oQyB9WQ8XpUa8yZQZ8YrfoAhxIK4NTgzQQrTqMAahtaU6+4Ach2gsJyzMZAO4Fe3a8baMBVipiUZJWmhpio4n3dYfk4moS3BKj/NuqsafD/UE86kFxRE9to8Q9O2l1iO3/5Yvi3QS3HePQznnmFydr9IOPGFvumgiKk1XgghUjul8UXUzts8hXdGEvm629fJ6P9p4C8C/4+I/GG579/DAvx/LiJ/GfgU+FfL3/57jFr5c4xe+a9/1RtokSBNakWklK5ySZR25fFgDjIE+sFn8c1Anw44s8PJMozMDx1102CxwSrByilRVzwyS7AvPYDoG9PiwdgjqVyQAYfrertw1Nx8mvGYdj7n5PSc9XrJYrXi9Pycdai4u72lqWuOj6Zcv7yEINxcX3H24CEXz57y8J13GY9r2nZLU9f06y31yJglP/rpT0hO+OCDDxjXZtMnKdN4z61hXHR9R+cEmTSsJVIBbdry6P5j/t7f/ts8iYmYWy6vrrh78C49mffef5fu6cfUwZl6ZNuR1FONas7u3eNSjXGzuL2jX2+IuSFkM3e4Xa3xzhG7bcmeTWOmGjWI99wu5lxcXZGkJtQ19+7d48G9eywWCz755BNeXV6Rr17BaESsa1aLBawcN/M7Nuv13rD9wQOaqqIJFbWzBfn5y5dcfvopqPLwgx9yeu+UGHskJdPYERvRb5oG1wPOsWxbnl085UnGzDJyTUqpeBokXI64LLiUUWeZPZpwWY3/nUuGmC0D1cJf1+FE5U3YxoLE0Jgd+me73uqA0WPwgaJF2z2XajWapSCYf2wy3D71PbltqYYMnyIvIBknRbZZirOVM0cqKBhzFpKD2hkmH9Uw5EQGF6AMGoEromfGFAvelgmVwj903ow+SnczhNoGtJyiXosq5v6aGzLVoXfhC0wxaPuYMqPu9tzwvIF2PYS0oUk8bMnlHQQjYvlzKBW9TdpbMB9V3qoBNW9aTeZpSy56OQPLpwxHmOib4LL1AgtxCWvC2KJlvx0sOl+k0ZeIsU8AgB1MbCzyEuhdmbLdC91Q1Y7GCc4plZns7YgigwnJ192+Duvmf+NX93f/7Fser8C/+bU/AaB4tnlq5WGOpo+iJklscyMWhDcpFGqXDWvEnOlSNOqeFCZIztRiuCtYtmHnuTfs0Dmys4bu3GW8z7aK5owXj0sBR10av5U1UNIZ0LEoPrKnqaLqZnwcjvj0bsW7uWFRRWKYkFUZ1WZA4kLN+uaG5uSMyfiI7dUdXRepKo+MpmjKVLHHr5fkTUv98BH9fEn2NbfzNcdHFalKbNY3THLLw/sPOa/MKMKniDpHS+I+mS5lLmPPKIyY5RHtOjPXyHY6ZrFqYdPx91NH0ox79iHHP/xTfNop10/eY+s7/kJcMFut+ak74tT3VJXj037DIjjeW7ZM7l5weuz4B6sWkQrdgCYzdghUOCCmaIYgTW2OUfM7Wu0Zjc8QEd69/5jT6YxPf/Yhi2eX5NUafEPjG2pXMdaKdt3SbBVNnkhDGNfcG59QSY0Q6CTY7MBVC72HOnBUBSbes+hWeA9IJuBtoK6veDHONJPIb/uG6//xR/ygS3zWeC5zz31fc75a8PmRR1OkVof4zFiFkQitU5IkEh14x6ucUbHX1uz31FGcSV0XyOMol5L9oHI/nO0YLvC59gWeS4RkU7BNjriY8CmhqSXGRN33EDubeiUykswodYTU43JENbImErKRzitvvS2P0mVHypmQmgKTelahxWeQIDYNXBQyk2ZiMshCsyCuMy5/ss8eXCiVryLOICnxmeCNkeXEeiM5KZWTAtO4Yuah9NXGrstdb82AV9QXZr1tA+tm19zGNP4H6HVPsRbw9jpSehxG9WVX1QH0rZmB5yKtkksFEUsPJBUtBl9vdkJklugJTkz8zIHJrmSl9wcSxuU9clFMPWRUhRxe/74iDBaArzGvBqi6YP7OgQ8G1QAWs0Q5ZluS04Ha+fW2b8RkbM5C144JXvEa8SGQiMVgoeCP6qwkxUpU45EWbCwlC/xqXORt9PudWJbSAYcfgr2IEBJoyWIED64CaRBpEAmIq0qJVduuhKFWAAAgAElEQVRulUwSR8oVjhGpE85mx9SjGTcBfrpYMD0+tkbpZoJ4O3Fvbm4ZhYqje/fYzBfWQAuBvutob2656nsmRycE51h3W9yo2mUKVVXxk5/8lMePHzOdTr9AJVVV+m3Hpu/oU+aomSLiGY1HzFdzZsdH3C0W6HhC3vS42vHLH/+E+Fv/HIQx3373PT4dTahTx83zC8K3tlZyR6WuGroukvrEq5dXzNqOanRM32Xm/ZZQ9m+OPV0fmU0mTMdj1tstd9e3xL5nOjriyFU8evSIiQrPfv4RP/39P6Cfz0Hh6N45s9mM6XTGoo20fWTR9aRkzlyTyYSj4zPGsynOOe7u7ri9veX6+hKqitnpzJrGOiiWssOcB6aVabQLm5tb8mZbWDmWPUupzrRvUQLqMxpro9M5V+iE3oJadlTREGAXPNk5Eg4NnoxQwU4rx8kX07vc73Xzh63JnWV7ORE047NSpY6QMnUcDKUT2psnq+taUoz0XYvfbtDU4bvOBsmyUTK9jWoUzF8JyapkLaC2U6UuEETKlsGnbLxyV6iDpq4pO+VLF+wzBwlmi1fUNKXEacs0rdIJTgh+32j02N+d5NK7YBekvixY6Ru3b7uv8vvFIZXrYWBjWRAuJIwgO9pkL6an4zCY2GVX4DlHFl9c6cSYTtl6IeyIGrlQrvc9Db/rA74+1Abg+r272P6W8hh297ld09qqRpuHG/axQTXDbM8Qv5z7RyzQqwp9V0MwtbckZgIQXbQdoBbwVdhlTLIrSCkH06pdcUJOB4F+4N7vhPtNLtY63I7sbaV3BHKuUNeg0uBdhUgJ8FSla5RJ2dHjrZ2lnkoDYdkxKt0S5xyD5VWfEuPplPWra7bbLYQKX1emB+IMJtIYydsWJuYw37cdoZqAy3g/om1bw6nrAjO4faAfMEG3U3M0Djrqdp/DV5Xx5OtAbHsqHIv5BacxMxtVnB6dcFGNkOS4ubokrZb403NEoB5NdiPpq/mC2HUk6Wn7SCuZWjM5ZatMqorpaEqKSrfp2G46wMaVHsxOOKvHvPzkc559+in9aoNIoKorTiZH1M0IydClRBtj8eZ1NOMx9XSCq8IOfpvP59ze3pJTJBzPGB8fIcV/dgj0O/ojRd9crPnYzRfotjMcXEvpPPDc1SzxUhYkF0pgTvhcLNuyNRDHquQikZ38AHNkspqZyKC0GN5yDb4Nw62LlozTjC8wUZ0iPibqaNCNebMmJJkzkySDqDT1aDSPZdVUgqlas9JOatMyF0V8of+JMZW8N1waVyAeBtnlPUiiJe01y0SL6CLGcMHlEnxs9wVv12JwgvMUPR8LWlLmUeTguLx5+6tjg37pY/zh4xSDW5wz+WRVs/ET073KpW+RC3NoGFrzRalOXXl+gXhM0sIMyMUrksvCr7ZPd0t5+XhOBo7RPogPC+Tbvu++8WrNecd+nxn9Mu8WU+eBgabJl++Tt23fiECfs2e1PabyQiIRc49oR5C2EL+i4W1+Vdg0Qp8N04+ai02XJ6YeEvSpsgv5LSeViOCiBcJQ9N4HmMa7AGGMutqyu+IBm9SXoRbYqLBWR+jHHOdAv2iZ3a557Cp01rDabhjNplSTMT723C4WjM5OIWe2r25AlaAJIREqR18HyJEQhO1qQcoOiR0SKrbbLVdXV9y/f98Mh2PEzUJpZu3znDpav8BXlQWblFgstjSTmrv1hl9cXTPxgc020nWQVx3vNiOao1PGOXD08B3mHz7jD//3v0UYP2byr/wFxEVOH71D6ypCPUESTJ01iNvViraBoyzErmPSjDk+PoakfPKLT9lsNnQZQqiomor3Zuesb1Z89pOPWNzdEbLHVxXT6ZTR+Ajxjs225Wa5gpSgGSFVxfj03B4zOaLve9arDTe3C+K2h/un3HvnHrOTI7KHPrYE7432VxZ3B/SaSZqps9B9/oxqtUbJhNwzKY35BDTaQfJkzaS4NfzbOcQlKhG0QEHGqvNI8GRXjJ17QcVMxLVQE7dvOc+H8/AQYx5Hm8l12eR8vWaqnPAlo9d2S06JkFtyH/HdFpc6fGypc0a0N7gTC0zBYZOXYmqTNbFMpZrmfNYS4Htfelu+JEplEEoNyhmGiDa5x+NL89nYRy6Ym5Z4LUFJqUK59UYLbLz1J4bs3hhI+2vwcH/8qu01iOag53YI39S7v+0XWSeOINZLCwUCyvWgaW/nR5cscTQbyAEIEZyrSChezWg9IzhvzD+SFkaU4l3/heP65u+WVIZf+X0P94Vn+H6DHIxN4MvQA3HFhjAXBg76xwBuvimBHscqTvECsYt02SPiCSIESbvGQ47VDg+zxoXhwommjOKbtdx6oGDuGjvW7Ng1eDQgWahlRCjB3EuNl4DIlIQ3P81kuyelBnXmarNEWKsndTY/mDXxW+9+wMNx5H8OkcV6RZVGjMdj2r7nSITb588BIUwnxG2LZCHGMhodAmy35Lbj+vKKenZEtwi4pmaxsErg7Ox8p+LYtZZt7nMHqFPC+WAiat2WmJW7uzsenn3Axc0Vd/Mlp+pYSY2LkZPxhJO6YuUdl+uefPqAW18zv75hcvWMSVOb4uLxjIUTeldx8elz7p6+xI3uU283hAzLVWelZDVifbfi448/Y7NYg8L4+BzRwKOThzx7+pxnz55x/fzCOlaTMbMHD5jMZuSJ7adF15psogizszOm4zHnZ+eMx2O079ksl9zM56YO2jT4synN6RG+qcja4vwwWVgwcKxSTA763NMkGF/fMuk6lEytyjQ71EXUZZpIacBVJinse1R7vDbkUiUafbOY2yRHduYpnENl7BXndx25kA4Fh/fbIeQG0KS13Z+TZfRqlZLLmSpGcrdFU2KUtqTYI12LpJ7QralyxOUecg8p4VOPD+wojyqZKGom3Zhbmpm2Y41XbF2FYvSRe8t41T67ijcZcAuBhfKpKNFIbANnXorzFUoIFlwrbxz64HRXhToOeON8daCHr4ZvwsEEfS63MQ1NanaGQwpEKcqjmsne5j5iga48lvx1rioLoNGBVZUYsKb4oD0fE039+kDmTjLjDZgGjV/4vodVyj7Q7wfrfMHphwlhmyewxnZdIJsBhv662zci0CuwyUKI1gFv1GQH1AV6tNDlBM2loVIOdcpKFxVVt2uEuFBD3pZO/EBvMA1o70KRNA6gEKUmZ7uAcTWKo1NnErUIFOmFlCsk28GIEujUIdLQa8u2jaS24/1vPaB//ilt29Jf33D+7hOSKvPFAjca0ThPv7KL2leB2NmF01QVbUysVwtm45lx54NQ1TXXLy45Pj42rXexwang60Ij3Gc3o6ph64TFesXxaGpqkSmTu56b61vGXc84Kwvx1JKo65qby5dswpTJyRldM2YtnqPjhveePGaVI5vlArxjNJuyXlyacNnNgnXjqauGm0+eE3A8fPgQ7yoW86XBNcsV7vwB7bbj4YNzzo5O+Xs//YnZzZ2dklWppxOa02PCZMImJ7aa2JQZCKoK8Z5Q1/gq0PYdqe24md+x2m7AGTwVmkBoKhIGo1RVhVdjpXjncWq88S5GYoaT6YxqvWGqkFKPOKHy0OdEzMkmSb1h7TlGYs7UQEoOxJdBIxvSMapdIGq2Sc0cEScWPJ3NQdZxwFH3k58DdHOYpdZGBDQP1VQkJsp8f+o7XO4t2MYOSQmJLaSeCoXU4jQbt98lk38g7XjfWbL55Gph7hTBsOBkN9Vpw4mO6ARJqZzzwxBYZhSMESR5UIwtjgtiloYm2Gb67sELTVnrvLPP5UNGxBYB9EBh9iuC/WHVc7i/BsPuYapXSrPW6JkDhZRiLL6HdtoUKSHYzOpdRZ8OxA+dzW44dWVA0xrLSe26t1XK/C9UIPih37Jn1AyLzn5pgR3Z/2AbJmkPsXsZZoYwTH5IVtwXMH3b52+bwv2y7RsR6JMKy+xxCCOpiNQQW6MUFdkD53pEx19oRuZc71yKBseiTcHfhuJGSgbv1BetcY+TQJcmBAk4dSTGePEkKpxWBQqz5y9zw1nyeBVardmop41KNYLOBW5Xt7hXphM+qYxxEjdbpuMxR7MZ3WZjRuOqOO9p22TDKmVSsgqO2HasF3MaVUbTGW23YTYzbriqslwuLZiNK9brNcFXO8oo4xldTOA918s7Rn3iW48f0bYdm9sladNRq6N57wMuPvwZj6RlcfmS0fs/4E4dv/Vn/wWe/V+/x5OjY/7Eg1N+9PnnpH5F272EruPq5pZeMk8/ecZy1FFVFeMj4Tvf+zVcCFxcXHH16hq6RPPkfVDhhz/8NWbjCT/+8Y9ZpWJE11RQV9T3zmknNdErd9s1sduCy1SnM5qm4eT0iOlojK89OUZezq95dXMJfU8oTlNh2hgurLLTA5GEwRIem9JE6DXhfc0oJ06WW05jJNNTqadWWLtA66DOW5OBl8rs/1Kgy5ms0TL6omuiVWNZr3cE8WZi4x1aDL8VCxxVfp0HPpyzh+cuQM6RrAmXUoFhTCU1kPF9b5rwOTPpNvbY3gJ9nXtCjkiOuNjbYI6zz08JBoNRXSwj++wGCh3O9dZ8JJN1r+medZDlte+71sIXT24XiFzJOJ0r9nouEZLinBqhQgY6YKJyg5ezaQkFXmceHe6fw+21TH6Aa9wgM1GGJN1gxmEweTn0O9rmYUekqWujYyN4CcQyRBclAA7vK6vaUyjNWMV7qwySc8ZsyhlVT45WwQyZeXDmRjdoJMFe4uGtnMuDT7aDbwZvDT2oEhiy+/2iEHaCjf8oYvQIbaoIWrQdklmwiZoJiBeQ5ED3uuaHt3t9ecvsk4t7waIyI+mKRFVODiSgEnCMUK0wflaDaiBne9xO1Q5hrYGxOpokxOxJGtimxMqAaNykoZWeHCPj8YjFasV6uWR6cmLmGUiRCKho+8gw5D3oiAdx5v7Ttkjd0GhGY9plg6lonFSVVTTWlDXerXOm7RFTJIspYo5dQFJmOb8jbjaEBG1WZsendCkzCoEQI7PJiLULPHzyDi+rhhwz3fU1J/cW9HHJxcc/IS2WplN2NEHF0SvEtmP25BHTyTGbtmW13EKfYTSm7SOTyYTZbGYw2npdKBcOmoBvalwdUAdt6ol9CzlCVZeSX6iDwwfT/+j6ls12ZfCEh2pSU01q6lFdsimlUqFyjhgPZiVEAF+yUEdImbBtacrF6bEGqGoyLXED4lCNiJqDa5WFGC0DG0bkqwINJRXUhSKUFQzvLYEf+MpAP2wxmd671wjJBrUC0eSjixRFULXMPiYkRcNpS/NYk31mp4O+jZRzy+151josLuyq1FxwZxvByOTszMFpWITUKucwfFYxBsrQMHQDn75IQnhs2jO4YTgq7/BlI4fIXrjrAL6BL8/qDzH5t207OMT6xjt6Y97tibKZQE/ZHQ7TegdjVHnUecDhcihPTBYDykoiHquS1b7zMHkLpQFd4JuB1jlEj8Ne2ts+t93YPrJFDdO2oWg2lS8xsJUMv99n+V93+0YEenC0+YhY9OWzyziZ0LNBiIiY1nV0t/umTDkhd6VxVlRryxtSszuhnQuW0eMLvcqjVEgIqI7RXKHiSbEumZwjJytnhxPstoKm96Tk6HpPVE8MgQUdZ/fPufeDD/hUX8L1ivFRxfnsiM9fvGS73fLw8WNWt3cs53MCQlNVbHvAm8Jh1mhTbl7otmtahKZtCeMJbdtS1zWr1YrxeIyI8OrVKwC20jIem/nG3d0dSxK3tTDxgfFozOb2jrvLl7BuSUlYrjf85nd+yMXPfs44brn9+BM2f/RzFg/f4elNS6CivbziD/+b/xb/6CPUJz77B/8L70hi7GsmH3yHra/o6glN03D2ve9zebHg7u6Ozd0GqgZXjXnvWx9w//59rm5u+Pyzz+i7LfgW1zRMjsaMJhOqoxHzzdqYSN3aAo54Hp6fMRqNOD6egnPM53OWqxXrzQJ3PGY0GnF0ckJd10xHnlA4L6PKDDNyn4227gTEBEo6zeAFbTuq+YoTHASPkHEpkdnQiXBWV6QkKKG4HnnUGdsF71Bv057TYbrSO7JEk3+QjoyZiQ9S2oPU9Zu47JvB3vXDZHdEiteCSy0uK6FMwIoqVd7acGDsEM1GxUxF7sC7wmEHzcGyeZv/BzJVZUNDKQ9JvY38ZxKoL1l9wsd9dg+WgDUlNZUChe6ZJlpkA6x6CE7Kem7ZaRD7PMEXFokRXkya4Y3ty7LTN/Hsw0VyMMPZTdGLcenFe8voD1425UFaTAyKQxAXLOlzgjpj1vkcyAKBsKuMXDBYkBzJ3pOjZ6adefCWLDyIUXgHqqXDsvreHdYV+899CMcM32G3psoAOfldhj9M0Toj3L+1Cvqy7RsS6D0wQbHmUJ8ymnqCy/iSlSktuXavXSiHI8TWUBXD6pIrwI0gGnBiP6Z34xBqHDXICBMo9uQ0aGF7Uirc2yKktvEdnQpVEnI0vLbNmeOTCdVRzUJ7ni9ecTw9Yn53x2Q2wyO8vHhB1TR8/7vfZX57x+cf/cKmHgdOv+SdbKyIQNdCUlarFcejMX3fMx6P2Wy2HB8fk3Pm+vqa2WxGinkH7VxeXsDRmF4C9WSEpp5ffvhzrud3sFrST47o1z1NkfZNF9fIck13O8edPwJRHp8/IHUdP3u1ZLz+lOgj3/YVHxyfcHs150/+xm/w9OgYNznh4fvvsakaXj77JUmV4/sPCU3NvSePefjkERcXF3z00x8b1hwck/GU8XjM5OiYajyiU+jXG1LXUY8nTEYjzk/PeHzvhKZp8FVF13W8WC2Zz++Mt1xXjKZjJtOxaQq5BDHiUYIzU5FW9+dDhl12rarEvkO6LaOmYpUjQUzdMEjAeci9qTQqgUgiqQdfG8aqvnCuhSZvEXHkKGQXyth63k9ilswregWR19QZd3DEIUYfy+fNyRYfBe23SFbD5fvi8CRb43WnaE1RstHvcFTeGaafEsEX6MZZVTJAAhRPZoWiF5MtGOqg7ZSRUFFyJoZ8OBmXsPxmw0I5Z2vEyvAexl0f8ONB00YYgpYwRHr3Nq7I22KWluB3sL+8c6QyHW+0SEdkv2+lHPcBxpGDl/be7/6Y8XhX0WUlie5ppBT70d3r2KuGyqi2w7R8VmhChbS2z13KIFhP4jDQg009vWX7QoMW86seNO5NEdUQjuFxBlMeqO++oaPzZds3ItCbfnRTOuJCFEWlIaUKtCfmgOgYSZ5URJ6y9iDG33YSEClwiwrOmSQpGD9e1CN4KGyCqDV9rpgET4/QJ0q2I8RsomrAjirXd5nPVg8QAnVzh5NErY/58d0lD344Yduv+bgdcdwpPgrNNvHr95/w9OULFp88414Y8Wh2Qn74mNvbW14ulezMvi5Ja9IDkqBfAUqqAuHeKZObG2ZJWd/ecf7BB1zf3tIE2Kzn1OMJVBAlcjf19O2KR+GU0zubRrx9tcHlQNaGOkWak5rnLvHy/gh/c8I9VR4fOf7PdMEnp6dM//F/ktvf/0+5FwPMXtB3iU+l5qPrBH/mn8EfnZFSx/vfe8jRgxOeffaUtplAVbGYjGlGgXunMz67/Jyb2xfgVjivHNUVR5Mp9Vg4ezBF6ooXyzmhSTivnE8Cs1HFo1ng/QpCI7xcz7ldLZinFWvpSZJp6orj0ZgzqcjbhEx1JyErriKLo88eH7w1UseeTdvSVZ7vuMSfuH1BaFpuj4X1RjiNjmuv9K7nJEPIggExnfl0Om/ephpxqUxJA9vC0lKx3tKgTZ8LC2zI36puH9AGQazDhWd4nGYTIAjYFKsjg2sLVNKRvVkqNrmFotiIsM/wGIT7xOjBA26O3Yd6w9QF6gO4OPelYlUTJMOZ6uOOqliCSTWYoRz0Fd78P8CoWtn1dsBCyblg8sO/g0z2cNvPQBz4Sxw2IDkIhl5KnDD58Oh7U9kU29EVpusjlJ6JmCdslEBESVnpcfRZUO+JhYQRxROTWpObMvTmxOSZKU1cl6kqT9SONmZirhDtENcTBIKY5tVh5RFEvqCaO6AQw8QvQO/YDUBZN8PoqsrrUFedBxFHeN1K/su3b0Sgty8fCiWu6GnkZENMKEKNaoJspgDmamNW4H2vxdHGMFJXDqyUIJ2LJ7s59AwTsDXqvGWAyRValnGM+2zDL7AP9C4bU8dlt6OeLfqIe3SK3D/mZ4tbrj1U753RpcjlZsPT589Z+5ZW1zz/0f8NVc2DR49w92b8Uw/vsV2t0LYjLVakrjN4J0bulgve3W6ZPb/gR58/ZX55RTWbsry55dNf/ILxdGbNvhHE9YbLy0u66JhOJlxfXFKdwue//JS0XptOzKTm7PwccfDd7owrmeGYM4/glx3h2++zcJ6Hf/rP8GAy48VHH3H9y5/TZeWDX/t1Ju+8y/L+E15VE87feYej+094cXXFq7sWpiNCVTGaNpzfOyF2Wz795JdI7jg+P2FSBU7HI07O7hHqmtxUrNvWmsnOIXXNyeyIWZmATVVF10de3t7wajFnsVqR+ogfTzg7O2PcjIoutyNKv1cd9fsBuUHBcgcHFNvCxWLBPbABI9nb7flSFofi26pamBW5uGGVIRpiocn50qcfzCHK/z0Q895DNad9ZQGlUeiHBEJ2AVF3z0nkbD0on3uEbOygnHADTHmAV8vBd91dRwp78b799rYyvyoBM5emrRTYw5Io2YWQvMuYLfjugvAQzA6C8yFMZa2RtzRe35K+6xv//ypQ4sseo9h+jkOlInupgGG/UWCkYehQoVRihu2nN5qdJmInDHoqrvTbKLpEXk24zbR9eG0/DPvgbX2Gw6zeMUDS+7+7YUHnjX7D/4ftGxHowXjuQBGAcogXE1rKoC6ZRVgOZspc5EZRu+qGVTJIMO5vye5tAMIjxXXdSWXNS6kQKlJOOxxvGKaIujfdFXWlg+9LSWWLi4pH6oaNtLjjYzajDRfLO7h5QT0ekSThZjXTacW9x/e4ungBfaRdz8kx8cm2o1+t0b4ntD3ERC2msZJyh+aO9eLGcKy2ZXJ+zvz6Br25wY0mSPA04uiWG5aX1+DH9MsNIz9ieTMndT30aQeb4DxREyNtGIUJzzaRtGpJXc/x/UcsY8/TxXOa2Qx+/deY3XtAcsLJt76HOz7lslPGp/cZnTxkvtpyfbck4ZlMGrbbLR+8+23G4xE/+9mPQDuq4BjVFcELVR1sXjx4tl3HYr3a9R5qHxiNRvZT1fRO2LQdi82a5bbbmWLUdc1o1BTp3X2GI0VaesiQ3gwqImK9m5zpNia8lnPeXTxO9z8ihvOCnWuDdopqtGOeBiimGERkiqk3hELJC9n0l0oEtXOOEnwAKRx8/D7LVbWMXnJEcwQypESm9AeKhN6wHQaHXeAa/sY++z3c3hYUvRsqgWGxsN/t5fM+o1bZBffDTPvwdX9V0H3tOPz/tDl1X7hvCO425yI7U+/DSgSMJ5/JpF1vxTTsD+GfqhxjX6o4Q1SG4SpXoK/DJvP+Mxzevvn/NxffHaQl+0buIYNneObXlzF7fftmBHpxqKuB0igCcJah5xwhezIRlxU0GUtD0w5/1GxaHeJqRCrikEngSxZfMvMC8SQJVvLn/TDDEOitH3CIi7lCTatAPRWBpIlNn8l1Q3N2xvPFS7pRxW89fMLnz55xfX3N4uLChntS5nQ8oXIO6VfkPvJ0rMAWXEIak9jJmzXqIozgUrd0m2XBh5V3zu/x4UcfQYTV5RVVaDgNY54+/RhubmB0iqry3X/id/jxH/x9yz5GI9Pcmc64XZlM8EfVGPnN3+b8O79J+O4PuPfDH7CpTlkvb7hZJFYR2CY4ug+TCb90E1hF7r/7bd59/zvM7xZ88otfGt97MmFcZ37w3e9S18LV5WcQ10wbR10Fgleq4Dk5PUaPZvQ5cXN1y3K9JojjaDJlNhpxPJ0yrhtCCFxslsyXS67Wm/+Xunf5tSzb0rt+Yz7WWvtxHhFxIjIjM+/Nulm3yha4AcKi44bFP0DJEg1ogAQI0wAhJFq4hWS5B0a0kIzoIIEQkm0JISPEowUCg6soVdl1b92qujdfNzLjeV77udZ80Bhzrb32PjsiT+Z1mawZOto79t7rPeeYY37jG99gFTtsVWOc4+R0RlNVECIhJ7yxw7K31/7oqabW2qF4A6BidVhWt7d4MazbFrDkICRbdG6yemMZxbJ7c2nEqaHPkKUjp7LGLIO6l+PIppjXGAfWihlFAvvB2Yt25TgygLlMKClCYc8QOo3f5LQr3dgPlR4aeYvxPEbmO4qXSCy1bvWaVRunxDbKCUdyYSDtG6ZxbsDAfCvX1p+XLYbw6Pn8abRSSYreuBcfOaKYuoogKm2yA1pQyfEYFbLCINYQ8s7Qu142pVSc6wu1m+Q0CS0q714ljjNOZJdnwK5M4rF2OAH4g0fU69bv4hxln9/x9nwvDL0unWBYpGSd4ZJ4omSSserp2wZSLBSAQJmmhwGacCTxZNEIuq5ktQoOIkqhEq0sn1LCRDuIEPXLTRGjRVBy1sCMCLFgnRZHyprBVjlHReC0qpgbo8ldN0seNDMmDy02lhJ3iyWSM20XiStNZ+fmFtpOzz0Xpc6EevDJIOsOUwSwSIlKDGG5AoR8u6atEzZk0vUSbA2+ZnZ6yurmVsW4c2b+8BFYYbXdaLKPtTyrJ/DRRxg/48GP/xx2fsL65Wu2r64IbxY6WGytfPfZCfP3n+JdzfTkjNvbWy6v3kDuwBlsJTx6eMLpScPzF19xc/kSiybtVM5QOUtTVzSzhpddy3a7ZbFa0XUd3ntq72l8tSsWkjNX6xU3qyXbFMmiiS2uqpjU9fCMKH1lNwhk77s7HmQuIleltGQOkWzNQN+l4NSx4MSpZGCAMlNiMXTqtkZ6UUqKoYeyqi/Pqr8Wk+8a1xx22ZS98bdYEpqQZIuFNaiRN6NskO5gX1Kw3z1Tko9718c9apU2Vscm6ngzRis8FcleWy57z6NH2bLjz/u99SsMdZBGUMmopT595qIAACAASURBVCNn2BcgkX6/R8724DL3fnP0XufMIFmXhZATISn2HbJKVeQMgQQZLX8JdCNoLJVzM+W966/HKOqgE55B/2UNRsNQ7rA/j/H7Y0yscRsnu/bf/OOYLL8Xhh4KHo5BxJaZuHhKxmp1pxyRaMmmLI1zRx/SUgzNgBhiNqTsMVKEvYpxz2ilqD48nwU66QaVwT6ab1R9qUTnwSTYUAJBKVKnSJU7Zjmy+PoFn/2v/xt/4bceYecTvpCGxfqa11dL5OQhlbPcTm+4Wq2UgXJyAiEwWZ9gUybHSFysSJ2qFJoU6BLk20650l3m5OSE519+AW8uoW5AHE+ePGV7u4J1y+ThQ97/4ScYY7i5eqMToPcsFldAhumE6cMHJAyfVQGMYf7JJ9SPH3P77AXLn/4JVRtoVhFXe5hM6R7PmU7mnM9qpvNTnDX84c9+QjbCyZMpSOa9Dx7zyeMHvHr1iufPfkHbtjgDZ6dzKus4PTvh9GSGrWtePHtJ27a0MVDVFefzE86mM6wxTCYTGl/x6tUrPnvxgpQS25Sx1jGfz6m9Zz6dIV1QOmDlhxoE1rrBu+zx+r6JaPUoCi218RVOShAsRlIy6skVCKOLaj6M0YGqAcLEQJccOmpkXFd0vJQexwZMHk0EuU9nN8N2Pf0vxTSwQ+Kolijls17VUInc5RRy3iXLvW08HcAUhy3ZUhCjsExUijj0UxzS93/GcE2/0u0/2x0/JvYNfX8Ohwc+trg4Mln3E/O4DXTKkbFUaKysxEQppIhW0UpAyEJXvPSExl0CQksihUxH70gmXJnk+v1HAUmqXOkLPr9nrK3G/AZ5iOIo2NG59qKAe/d+FJwdaLbHbpPsVgd9MpVxdm+7+7bvhaHX+bGERAou3i+NyQYxGrsnuXLnIka8BmgB+kmiIKFJSuCk/GXYi3SrJ6TDKGe5c9PMaPiqgFAkSyRKJrDFEFjfvORivuTZ//E7/I9/9+8wee8xJ3/5t/jhb/yY9+oKOZ0TvYPVirkztAaWbUuXEnnasI2R1AVi8GXUF3wWo9mIOcFmS57UrK8jbFpIMH3/I87PH/KzP/gp8ycf4JuaqnZsNhtuVwudmcIaJjVS1UwfnKnKYs580Jxg51MmDx/xi9/7XboXr5lc3RIMdKc1k4uHnM7n/PDRDEQ4e/IIcRV//MWXnJxoMZIkgYePznn8ZM4f/vQfcXt9w3azoKoqTidTJlVNM6k5e/CAuq55/voV1ytd1UzqmlndcDadcTqbKWPKOW43a766esM2ZhXXwlLZitNmQlNVVBk2RbYgKOsb3z+fkdbJoTdvjIGsVYK6FGljoEtxWNUFUeGqkHcYaUag1FJVOu4+KjqeTLSvsIONRoG/1KPEUgKbouqIvVEHfezG22EQ94Wnc9wdM/b7K2UA98bNYXAvs8fsGd+XOy33daPKKqm41SOmPMpdCUc2vYsUp2LQhoBxgW7uePTHTuXuR4PE9zf9zuCG1YYGgIU2KWQTs9BmhWvCCLoJWVdIHZk2JY2pZS3Cgq+GzNrhnLtAKDkJJqNCaIP3PvoduyJJgzd+5N4f9iHdz/7VSWZvxWag1D24y3i6T/teGHooM1qGXLyoPT0MRAeOKDtVxAKBYR7Mop+lojMv6pkrJ7af+WW35MsUqVLRpbuUTpLVyO8i4BkkUaVIm6IGbnKkNR3nzRS6FVMCTxrP7dfPePG3/y43H36AnTScffQB9cmcyZMLTs5OMJUnW4u1lsv1Sh9ijIRtq9oqIRLbjtB1hFYpde1GNca3Qb10qorZyYme3bZl1bU4NHknCGzDFkjgBD+b4JsaU4nWqRXLk6qmOTnldr0k3lwiq1tEOnJVYZ+cMnl0xmwy5cGsIpKpvWMdWxbtkiABEcvJ6YzZfMry5prlasFmu8ZYofYO5y3OOeqqwfqKTYisti0pKbe68p7KObxzA4YbY2TVblm1LSkqjOKtxTtH4xsa78rzKVnAkojEIUP1cBl8JxiLGpdYZDIUN1XjHgsnPGVIpUCEKaqNvRaMfrbrp8cMVWJHebN5PxDXM2wUA++Z2bvWe8ApaTY4WfZ+0WP0mT54Wro8dwf6UdaNcJTp0qtTpvI+SR+f2OUCUIzlnU2P2pceBto/v8OfHmXd3NNgHf2dyGDkc4JQsO1UiBUZpb6q4ddX7QelXyClDyRSjCp7gDKtTGSXB5G1jGJO/WS9gw7HUNx3vbYxnt8b9bFTMNBx859pQ68lfbVXOjXJWbVg+plOTbqjT8pQb71caO5ZGA5QHv14ouhRvUEBx6SiNSMkFLKxOSJGBnxU8XNdcs9lwyps2AArtyDTQsjMZMFm+ZLH0vL+aYVrO25/8RPaGFj9fmaZE6vQkb3e5oGRgaUPtCpDo3/tMzo0qYp/8V+isY6bN69Rgq7j5Pwhz168hEcXJMDPT3l5fclmuyJ3a5hZmpMZ548fkoDFNlDPpsxPzviNT36N4Cw/+8nvMaelnlpSnelOJ4QfnNFYx6kkOmfAGD67esnzm1tekvHnZ/im4f0PnxIWS37x059wvbgk58zp/IymaZhPZzy8eEzTNLy+ueX15SU3qw3TSYO1lpPJjIn3TH3F6XxOSIlnl695fX3Nm/USKxXeOk5nM+Z1w2kzoXKG5WqhKn5OtIqTNSoZW4KvlFVaT7XsRoFZ3VC9t67UNdAAnfLeu34oFS9eM/vjsD8ARtrjcRQOG0QypA/eCr2oWRK9h9ZaZQcBve7JeLKQEOlpikl6/RQ3Igb0A/u4gTzE6Pu6r8dYH3utl0osgVgQQglA7MFRR7z3Yx4p7K+ohH3+eN+OSQL8KqyclJSZl8ikmDX+loUOXf21SbH6kDVrWj36TBsS0QgdhVrZdUo2KkJnxhi8UzKHEwo3X+2OEjrioEWTjZRs6tE83ccujtyDYy30VadGt8eNgtmDZ/8d79X3xNDvAh69Z79btuwKJpjeHeoL6PbekyhnFrSDyYi/24PyqZRYK2Ej3bPoUiyV1HMp/P08sB00sFnHwDZ2CEKXW3Lq2EqHiWtiamkaR+xa1ss3WBEapzmSNXA6bWiL2JpWnU8E44iDbc9gS8ZgFmWUxIi1ljc5l4y+BL4Gp/r56+220CxrTh4+4PL2FdvtFrxj9uiM6XRKJpVCLHB+fs6DhxesnfD85hU32yU+dsy8Yf7gIdv5hOW04TRZLsSxcZaM8HKx5Gq7patrbFXhZnOurpfcvHxOu+6U5lmw9Mo5mumMuq4JMXN7s2S53iLO4guVsq5rmvJqjCF2HbfLJcvNWict43DGKvxT11R9ke9YlBlFQ2TGml5ft2j97LIlD+mHGLO3LFaEomfM5AHq6OUClOutxzpawWeU0j44VDLixQ+rCS0sY8YsoFKQZiy41cPduRSOIWeI5TziDiYR2dcfl4PX/n1PLhiYNnIXmoQdLXHwFGEoUK1jsCQc3tOuHK6ietjqcEo4qv1yX+N17DpS0ZXPZWUlpdg3vQ9VBN1kNyH3q49Uin8nlKVjMJAKT94YLFkhG9HjGBJBjFK23f2CpEdhmmPXMY4vDf7rrlbu2Kn4Lu17Yehzhjb2nSTuMD7QHtiLlvlu16EMBcop3roUfjNg+sQUGE2RafCSYuyIMTJlShtDoXPqMbKoumHKiUQAgS9Twvs3mASPNp4gnrYOXE7OeNP+eb78eSB3Gz68+CMtDoJq1xhQ9UGUwtXZBC7RWNUvkSRIKF5kNMQAMQcoipr85HOePv11bqanLCuLefIeL9ZLTO2wJjG9OKGrhXq1ocsLTp6cUjU1bbvl+mrJbDZjfn7Gb3zylKqq+N3P/pjbq2vycolpasJkgn94wdxXvJ8aMIZl0/Aay2KxYBUEZysuXM3HT99ns1rx/IvPWN7ckI3wYf2A+ekplLJ6JxePud6stdzf7RUWOK1qZpXmL5w6S11XOOe43m756vUlX1zesjXQuQnvG6gnFSfTGld7tibRtR3LnPHRIDEz9zWpS/gME1tR4wgpkFIuQXmVz1X9IKALxM4x7xwvkic7x6MALz1UgJHAG5eYKfCyN5DuotMMaqLjJbS1Fq0/blQCV4SCBO0FiXsqqDGmKCFmoukxclVfzTmT3e6z/jg2uSG+dJ/BvgcfHZkEj3nbu/E4xvfvmoj7Qgb2CM7+ruPtfWb6oPbos3Lt/WcpJcRbNq0qfAYS6zYMnnsu+8k5s02VqtvSZ793pCRILuy3GEh2S0y6CosiJOeIvayBdQRRnn20QmMzbQabBZdrnCRCjlpUSABK/dhR6b/+XOLo3verO5PuatSP4yv9q7s/WrPXvheGHjIxdQcXNfLMjFLBxKSRoS8Sv0XRUcx+dqR+2DMW8hB0zTkSglGUpNXMw1xqYCKBnCOZjmzK50BOW5II1mrhCWsEojBrHiInFelxBaGjNe/TxhUpBkgt5I4uLQm0RAkkCerRJIWpJGsAzxSpXfG2CCyVa9lsuVlusRMPdUVd1yzWtxiv2tmT+ZTLzZJutSKFjuurK7AWX9d8+OGHVHXNj3786yDC559/ztdffEkIgZNmxsX5uRbyto6YE05EJ4mcePX6kljKE05nU54+fcqrr59zc3XF1csXVGK4ODvnvYcPtCNXnno+ow2BL375S6VQVkqfnM1mzKuanDNVVeHrmk7gF7/8JYv1tiQwCZV31MYym0yYTCYkgW3Q4KmIYLwjh5KQxL5nM+431hhCn9EM4B3iDM576tmUjoR3WvXISwIT8D7jttU3wx2j9tbju4L1291nY0O/48GXOJDsjLoYtzeB9IYewIyMfr/ft3mGdyimpY1//67vx7/L37Cfd7X7ep/Hfjdm1QyflUxGKefQx7lU10cngp4SmXsMPudByXaMg/ewWIzap9qSUxPRONpQ88GoooyDooqlefZtDNiMsgELkURZO2DEYK1DbIZkd8/9CHQ30GzT25/N/krpu7XviaEHclei5magPA4XKCinuTf0hqHCinFl1hP16HQb2EMapQ++FoMvAjHhkmrmmILHi0RNEEml0LJoAEYkFg5FRqxqTzfiyVTkNEHSA/UqzZSYlqS0RdiS6BCzxsoaTIeIJsLEFPrTomgIko0mbCRUBRGAFNh0AXMywTYTJnXN+vYWN3E4Z7GVpVu0hKjni3PMT0+ZnZ7w+PFjhQ6M4cWrV7x584YUAt6qMa3rGm+0EyYAq8kh261W6RLRrNbZdEqKkdViQbdaM3Ge+XTKyXTKJnR4gWk1wznHm8Utq9UKEWHaNGrYvVdqmhV8XeOqhqvVkqvVkm0b9VkC3lgmkwmV8zijzKtV1Hq5pnjJUcbBSQYvaXjMxajuGbveCzOCeI8QFY9wWpjEWoO4jE3+qEf1tjaGKvY4/H1hjL6q0ogSiClLcWEY9FLgBpLsNHH6/Y2Mu0nm3oZ+fA3jcxxvfxxn3x1/MPr/Pxt6OJ4p2mdNx6w69eRMHkgaO2OaCwOnP+c4inv0AeOUEjlFYp+lnC0paeFwsbbQYmX4ixhsUhaULbByQmEiKUKI2LKSEy1XOa4l3be0d02jPnTE0H+b+3msfaOhF5EfAP8V8H45t7+Vc/7PROQ/Av4t4GX56V/LOf+9ss1/CPybaPD438s5/0/vPkoiidbOFGOR3isy++wb63ZBVusKd9qWQs4WjBmV8BouQA2+Yv5F3L8Uc6gaMG3U4hJJpVpj6jAxFIxbcX2XVEVOBLxV9olzM15dR7arxCafIX7C4nlL12qw1hFw0uGqDsyKKIFstmTJBNPDU3q8TCQ76IzGBJACGkyvuNy2WOMGo0ntSd4yfXTGor0lhKVWZaoqHj6+4OOPP1aD6j1V0cb//PPP2Ww2nFSaLfvo7FxL9OVMSBnjHNk7Xi9uWW03eK/Hu7i4oKkqvvz8U15+8QXOGD58dMG0qTAxIPMTqukU8Y4Xr1/zy6+/wntP0zRM53NVNLSWxlS4qsJPZqxj4PNXr1jGQEekEsfEWM58xcPzc8XuUyKJsFqtuL655uLJE7Yx6lMtNXGnopPiHi5uNMnKxli0bAQstGSSs7iTmTKTkuv17cimU8/L1Xu4NhwPpMnoN+MQ6bDMNj22rduO2eDjjNI+GU+MHfbRG/beY+0TuiifDcH7/jyOQR67E929jr3Bfvt3GHpG5+CO+JD/JAz9MejG9pNbzuSu0+TDAtdFMcTUksRoDVx6/L2nVAZCYVKFVGIfYtSR6419joSo/csYU+JpRtliBcs3xmLFsKXDimrwi9Hi812ZxRNK6zZiEKcV08TaoX5sf7VjKWU5At3ciTfBUdbXfdp9PPoA/Ac5598RkRPgt0Xkfy7f/ac55/94/GMR+aeAfxn4p4EPgP9FRH4z53w3A2LYCHrVPbEg/bK3VJDvjbuxEWN37ApjY5kMCl+5aF/rxuNBmolRjbayKTIxRdWxMJGUlE4Xo8pYilOjL2Wgu+RUB1oy4pIq2vuIcZFkOzpviS4ybQzrBClqbUdnLRLbgWOci3FKFqVrZU2tRkzJQizMC63eAFVNZ1WRsS8h6CYNMWeq6YTrqzeUPFGqyYSHDx/STKcao7B6z169eqVl/JxjPp0ym82oqqqUScuqO+NU4XDdKc+/bqY0TUPtPavFDa9fvcLmrIFUb1Uf3Vpm8zneexarFTelnut0Pi+euRs8m9p5jNeKWIvVitv1iuwsKUWMCJVznFSa/eqcI6WoCVZtq09PhBh0ks/lvJO5ayAsUopf7Gi1SNEosRZb1WASOZb7k7MGdl3CyBHo5oihH/P2D7uw9tneUz+C8I+Mc+/5C27wuMcStHr4nUffG/Zh8nmLoT/E4u+c/328w36/eUdcOPr9P6Z2dNIxsmfkh2BkD2clJVlkIkksiEIsQfSrPg1NoZsd/THlsl3OiNU+kwzYKCQjyuaiQD1RHa8gyuLJYggm04kgpY5EJYauUG1smfrVVBRIttDCRQzW2AIB21FmdCEIvMXQ33mWf1qGPuf8FfBVeX8rIj8BPnzHJr8F/Lc55y3wCxH5Y+CfB/7Pt28SMU7rqYq1YKyWzbM7vExEiHY7BLScKwbf7XD73vCnFEqwtixZUd3olEMJbCVyTsRujbe9Yp962W272Q22UrvRbiuST2Ajtg44iViuuJhN8O9Zri5bXq5XxPwFeb2BGNkguFyw1cKiME4DeZuopC4ocg6SQTqYO2TqefLhE+anp3zxtOL80SOu1gt+7aOnfPniOUECZ48v2BJpNytYr3ny0Q9Ux33S8PWrlzRNw8OLC7589oxf/vKXhJQ4Ozvjww8+0GuNma7rCDGy2myI1rDFsIkBcZbzszm183z52S+4fP2atN3w3oOHzCY182ZCypHz01PsfMbt7S2fffkFIQQuHjxkNpsRQqAqWatGDK6ZUE0mfPbmFV+9fsVyu0W8fn86aZj5itPaa+c3hu12w8s3r9nGwPz0VCf6IgSWc94NlLE3PxhLMxSgtmLAOYXQ6orOGnATyI5sSjajS4hF4x7sD7KjJMKRETw6XoZ31Tu+23n6Rnb1f3tvb4Bnek+eguGzL0w7hnHG+3jX9+PXe7Ujk92xlc67oKBxu++5vG0iTV0oK21DbFvNbXFR+fHBqmcvpeJa0oznnJOWg0T58jFpH1LYR0XpolElSmcMKcXiPplSxyKyDZmAINYRU8Dajsp7slEtnSTa73wJ9sYseOOw1mF9RTQGscqai1apt4P66jvuw/i+iezgvW/bvhVGLyK/BvyzwN8H/hLw74rIvwb8A9Trv0Qngf9rtNmXvHtiQEymmm2LV94zEzqcc3tMBu8SxqiBd7439Dtcvr9xiW7A8vsAbCwUvN7oq1cQd2UIY+FOu+Ix9LxWEbzNdFUiuYSpApUkaptIrGEy5a/86/8CV8byB1/9A+ImkLrI9mZL2HQsrzaEdSJEIXSZENTAi9GKNFXtMEaopx47cWCF4BLXIqR6QjefwXUkGYgkzKQhe8dis4HlGnLiZr1iZoT11RUPHjygns34+aefcnl5ifWejz/6iKqqsM4RQqDtWlWPrDxPHzwgxMjzm1ustWpYU+bq8pKXXz2DlHjv0QWPH5wRghbBnk9OqE/m/NFnn7Fdr+k2W5qqwhtDheCMVQXGGJnM58RmwuW25ZcvX3G1WGCdQIhMrGc+aZhah/cOmppNiry4vmKxXtOczKkLxCQZLTOJGsyQEqHw4vtAmzcGJ4ZWdmXdyKW/1BVuNqXSsj/Fs80Ym7EOpLV3DOXRvlpexzj2sZblrjE8xnQRWyaEAgUdxgeG12MGt/f0+23Kfu78bjjYPjR1n2bi3ePeXwX9ePumVQcwGLQ91k2MRJSxFMUQSuZyNJbOKhUyGC3oHcUWCWa9rwPFufQb8s5JMBZ8ssOBd6unrJRo+oQmoQVSMuTUEsk4MVoLwQqN84jRpMFoVEnXGnVcjTFk60jWYosTi2jt4fEz3LsHI9ZN3z++zbMbt3sbehGZA38b+Pdzzjci8p8Dfx3tR38d+E+Af4Pji4s7I0JE/irwVwEmkwcYH/ewdmMyxsno1WBsLjh8wjrB6MRYArMM/xf2dUAyCtv0GL2ya5S1E2PWCveqdIYbcpl2ndFJJLmE2IxxJaaSOrJkkqzxD0TpnW6GtBEbM5MtSgNcRtpNJobMdps0USMlxeZTIsZAILKIHb7WzheM6mYwdWwq6HymSx2RSF3PMc6xXS1UYMRox8EYvPfMZjMArq+v6bqOi4sL5dXnzKZV6d8kgC3JRV3HerNRNs6jhzSTCcvXl1xfXxO7jlkzYT5tiheV8dMpzXzOOrTc3NwQ2lbhl8KVN/TSA7o6a+qaRYzcrtcs12utd2s9lTPU3qk8swjGGzojbNqO5WpFGwMz7/He03XdoBtvBth6BHHs9yvVtJE+76IY9CF5STnkgsFIxplcnqsbtv8mY9/jxO/61THo5hhEIQceff/+jqE3RyaVYeV5d7tj+/ouhj5zZHJ6i1G6/z5HHurbfmRUGK3/vmQ5FJkHrRcgYglGjWVOOnb0z5IkqMHP/Yo9qJ5VKpr4pW8YUVjHWC0DmMo/rThVoJ5siFFZMyElRDSPJyWrK4kyUXQp4zFkDFEMoPBN6qVYxEAx/LFocfWlFcekgmP3ai/O8h3avQy9iHjUyP/XOee/A5Bzfj76/r8A/ofy3y+BH4w2/wh4drjPnPPfAv4WwIOHH2XXlKILBapRT16XWN6rwVc4ps+I3GVGGlugEdtzjLs9iqWml+8yXSXtPHqx5XtbdFbE3qGhNawQqzidFYPHYleBk7MK/2BKO428Wd+QJ2es44outDqxOEtXJ7Ymqt7KTAhJ6EKAqB6DTUrcYmPoerDANRjvSXPP2hmohOv1giSZej7Tzny7ATfhvKph0pCN4ezRQ0KKPH/+nJgT5w8fcPHkMZvNhhgjXWgREeaTGVIySNfblpQz7z9+gp80XF5f8/zZM7rtlrP5CbNZQ7fd0rUbJrMZ8wentCnx008/UxaP91ycnjGtFYLJJZDlqop60uCd53eef8VyuaTNUNcNtQjn0ymVt1RW8F4pmm8WtywWC262G6qmpmrqoUBEVe69zZoA05nCnioTlrW21Ci1dEazpocUuqyel/FOxavqRkvwAd5mKqsKof3zvo+h/ybD1ua7fu/x5Jmho90Z1N94nCMGfIzh9/vq+ecDU+mdZ77f7BGP/lcx9Mc4/ceaQicjbB60SLugCqQpEWwxquraEUV9n5gSIaTS59WT74gjuqrWDzBZ43pWdIUnqLihSUnjdkNiVVIHLEBlDAHB1RloSxFvT/bKytumSIxWV60YcikcLtaSnP4Za4YAbR5YWm/36McrPfsdTf19WDcC/JfAT3LOf3P0+dOC3wP8FeAflvf/PfDfiMjfRIOxvwH83+8+BgMEY4yUavYlEGvLJGg0JVghmYy1Ctf0AVh931eV0u8UulExqRGBAVPqw0ZJSkHMPcxjigb+kLdYoJsNrqhqChabhLpu6GLCmZqUDesu0F5n2BhsqpConarrWiSkgrdmhTQ6rQ2rHqogSfn5qlAoiFR48SwmHvEVeWEJoRsyftsYoG2prMcbTeTIOeO95/LyksVK4x0xRm5vb0lBjW81KQFHYwa4KudMXddMp1Pe3Fzz5s0bVosFKSXmzUS56yYzPZnRTKe0IfDm9obVes3MN0wq3baxDm+sapwbQ+Ucta/YbrdcLVds1xu80Ym5MgYvqgjonTJ8Qo7cLpes1mswukLAFJ35nNX74kB2YGTMevhu5ymOglumOAyuppKIyw6nclgYm3E24dLOox+/HrZjXPNjLd0RFn6LgUx3J5ixAF/f4tGY6BEMfpQxPNyjg9yDb4PRmyMQ1FFa5z33+ba4wZEf7sdIMmQiWoeivMdoYJ4yMRQIL4yC2ArXcFc0TKSsVuxe39nj7ecdBVPhnH71KMSoYzqKYDFEY0jekyIEraReJBJ0XOciupixiBkxcUrm9LFV1hDgH92r7wqb3cej/0vAvwr8voj8bvnsrwH/ioj8M+jE+ynwb6M35R+JyH8H/AHK2Pl33sm4QaGa2WwN7LIH9XP11nqs3nvNsMzFYFDw+11ATj2X2q53Az7nt/51bRoNXI2cw048qk8/n2THwkNnMucp8CDC3MP/S8K//4iXVxtsnoG8wThlBGQyuRhY62pyTpiQsGJxxiqtK2VSUEOWDETrlC5Webbeq8RuPecvfnDOb3/1GWleEboNpyGzypG2diynjrze0jQN3XrLm19+DTFy8eiR3oM2MmkajHf4ZkpIic47XiwXZBG6GHkyn/NqecvL589ZLhacbrYgwqNJg2tqond88ONfZ73d8vNPP+X2+pqpr3m/mnN6esq0apTZI4bOODYxUp2fs608v/ezL+luNcnqrJoyrQwz46nFkhM09SlV0/DV5SWvr6+IMTJvJpxNpsyyaFY0ipnGGDWo5SzJZBpjeRggJ+GZNbx0md80nprEInihlwAAIABJREFUZ9LypnKw9hhjWawD02yxsylxSwnOQSISXSaau8HYY23cp/o2zlbtJ08rzZ3f5dE+huMc+0xk8Ep2dMy753NshZCc73e4WyX0xx+tACrZn0z28ODx/sz9PPp4LP5wbGK7JxRkD1Y1XUokoyulGKFNhrUVtqFiK4lOhI1p2RhDlzMxB0IKROkQyWzbhHM7c+fsjsJdrhSRjLUGn1Vf3oRMKrpJw/MtmjlhkzUWZC25ybQxsekClQu4DE2O+GyoUiaJKNXYOZxzBOeU0myM5naIDBP5Ucht1I5la9+n3Yd1879zHBr6e+/Y5m8Af+O+JyECzvXeTMHZi3dvjHrt1ooGSIWBspRFsXdTsLm+c4/ejo7RFxXe/fXp7OWc91779zlnTDb0+ljW6PJJMso3n9R474lrnahCCErL6tKIHqf7i1l1OXYVkHZFDqQ/x/HJW0PtLH6rcYSdJ76/PDfWUlXVkOzknJboExGs9/i6HuiWOWdC1ynrJiVm8zk5JVarFYvFgna75dFkgqsqjNNy2bOTE7qu4/b2lpsrNcYPz8+ZTU+oqoo2BLoQqHuGVOU1JrBe6/mIwZdz9N5T2QrJKlUhIiohXBQ7DbvJ/m0ww7t86UOPcb+f6X3VfqWQjtYtyHh719CHcARnP3AgDo81cOUPIIq9cxi9jvcx9uj77/rvjwkWHL3Gg/M83F///57ON6ZvHps4jk4mvwLr5pgpeduzEtlJNYx/M76H488HmGXw5Aud+i0d5l2T+bHnNDa+uQT5x2SOw+zlo8c7ch1ve39fCYn7tO9FZqwYqCb9je2NvQzvnYMhS7WnJKm6P9Yy4GA9z1qd/X5/R8qelQfSOz97AyqNvXwAockVE58wBqZJaLxmxs4mFfZshlSWdtERu06rCI06WcxFEjdnwl4i1050S42CAWfBOKgqTF2RfM0PmikPVmuqEAkFA2/Xyi93E5UifvhYFSN/+fnneO+VeVOqMgVgtd2QcmbVXutkoatQptMJF48ecXt9zesXL2nXa3xd8+DBQ50cnKVqGk7Pz/mTn/+c1WpF7T2PHj/hdD6nXXe069VgnMU7uhg4OTnherHg+WsVWzufzrDWMqtqbFavt5nN8HVNcpbrxYKXV5eF166Zu03TlFzkXSvanrtJcWQk1cCqYd5LtBMZkqecMWRrcaUCVpWzMqg82Hg3KHrMeO0P9l2f6f+GiWBUOOPQWBx+Nv7/2wzufTNUc7o7+RxOJiKCc/bO9kdZQW+bMA/afcW7votHP763vVF1xTuOMWKcRQoWH0LQsoFdRwiBUOJSZLsXHxCRgbbdH6O/jt4eWGsP7MEODeilKwR17lKRX5BSGCQWYcJeRE9ERrbLYnqnyOk52NHz/zbQ2n3b98LQG4G62XUATRzZZcEaGwejuMuMVZjDlCWAiAwCQt7uVgV600rZtdw/rGLEh6IjMnjdKUn5fx5enQhNYWw0SWiS4KuGhx89ZfXwjNvtmi51bJarQUkxJ33YXU6ELATyoL0hFEtrio5hgmwM1tdEazB1g6krPkL4NTE8TplT44hVw2q9oY0BqWpm52ec1Co1cHN1xfX1NR88fqIKkmVwLNstbfHec1XjjQeE2WzGdDrl5bOvuLy8ZLNYqHxCM0HmU6II5w8eMJ/P+fLZM15+/RznnEofLJfYmHD1BGsM0/kcgFWMzM/PaHPiq5cveHN1xTZ0zL1HnKMNOoBtM6WezcBZLpcrXt1cs+xapkXwbDKZKKU27iCRPjjXF2g+9IBUxbJkPveDqSRO9QXArbXgHD4bXaKL4CXhPFjerhEzbmMDfWgABtouO8O850SMPf3dDoeVS/+aDo6lY+J+HrOV/UmoN1hjIzf26L8Jqjpm/I8a8GO4/THjf0+PfrTj3XmLqNdcXo1z2KSQTPRRc3CsIbeZLhVjHwPWFGXKg2OO78nYex5W8n3ym8hg8HfPeLdtPxF1MQ6Gvq7rvYl/bORlZOT7yYbRsb7pmXyX9r0w9GKgqsZL4X7WLGyawp1HVI9ejXtJU5ZS4Ljw0tXAU37X694ch256XH5s1M0ROMeJUGmclCoJNkE08OiD96ieXBC++IIuBpq6ZrlcqgphEVLKJRUb2Snq6VIFlURFZXTFOGJ54KkwSR4JnAMzYG49rfNspaVLmkFaNxV1XRG7jtVqpbBIVd1d+huD8w5T1QPUczKbEWNku15DSljnOJ3Ncc7Rdh2uqrAl6/Xly5eaDGKtUijF4IzBN7pqaFMcYI4sws3tLcvlchgspgzSPpGpqirEGrqUWKxWLDdrYs445/BetW4scq/iyjnnwpjYN/yDV97/FY9+PKCgD1rusq8P933suId49tjL7w1B7xneyW49OL+3HePOddzTYx4DW/cNHL/rGMfafT3/txztXtseQiX974aJauSZjz8fG+xe46Yfh4ce/eG+laadhlIXfVVRY9S7SCnvZKVL0ZrxmfclKMergLLz4RhD9byejSO74jR/Gga+b98PQy/7hh52A0XFxopnJ/2yPGNsj9/bUvs7Dzz7yowj6f2N2/ewxsZ9t3QbEM698zOhyA4bocmGKhuuYuTDP/8bPL+5pjk5pWkjf/Lpz3nv4jEZiDGpFG0sK4n+yrIGaYdiKaXuZBDNrhPnyaKB2U+8YfbmNafrxMePL/jDzZa2C2xDx5OnH2kHcY6vvnxG27bM5/NBAGy5XuuxBKpJQxbBT2csFgs+/vBD3rx5w/XVFTeXV+ScOT09pd1sWIWAe/yQ+cmc569e8vXXXxM3Wx5fXNB4LdSdUmJS17xer7XIyOvXhBD48Ic/4MvnX7Nar9lut7hSbOS0dGJnFaOfzuckY7i6uebV9RWbrlPOfVVkHvp6v6JsdGu1uHekeMRoxnEIgWQ8lbdIDKPnuxu4NmW267WynjKEGMml+Duigmf9dvdph8Zh/NkYdgkplRXILtFl17vpccF+p3te/o4avMN0+8njGCSzj0uP+/PuPA+NXEojerLZxW/G7dhne+f3lvty7Lvh+yM27Ni2/WjsV3IJDfhqHYE+3rWDa9WZUTaLqyvSerm7BnbxuN7L7rpu79p7fRsNyO6UcPuJe1g1jjx7zS2RgSwSc6ZtFSpS2CgQigqsMYYuxgE6Nf21jSau+9zL7zoJfD8MPTudj53nE9HlUfmNmF4uqHhoqQdrS7akMPh1Ows//O06OyOXfrw0Pt6pAYyzeKu1aF0WXDY00wlfvXpNmk54fXPNarPhkx//mH/4e7/H6ekpznratsV6T+hCEVqSEll29FWlchJ1H/plpzVgtZbqqURmOTNFH5QMA8aq150rutCqwYvqVa/X6x110siQ2o8I29AxOz2hDYHQdRATKagonLdWMfi65uTsjIQmXbVtS+O9ZgCW/YqIBmBL4DcJNLMpvqoGI0/xtL0oHj54995hnOVmuWC5WtF1KjCHUQ0dV5a4jPrC2LPvDYDheDAODmAdIIVdZjQxlZXc/Y37r9LeZiwPf3Of/Yzb2JiPcewdPDm6ZwdG3xgzBCgPIaj7nM8/ift2n+OMPeThukYQSbAW5G4w9l3BUlNW7ghIyqWfmWESJaZC7Xz3eY//Ys4DLbLnyyux859c+34YeimVlUadtxcUGrwWSVhbQWHcmGywWHIq5r2fGZPsZREeLvPGLaf9wNrbOkBtrargkfEBJAvrJFx1kRfLNY/e+wHr5Wd8/uyP+At/8Z/j5YsXXD5/hXOOzXKJqxqs9aQMXYwlDgBZLGJ6ATI18LgKKbo1FyypUsckCdJBDom2Ux7x7WbNg/MZ7WbDdrMBoLJu5314h7EWP52Qi66M1BPOzs549dXXXL58RWhbSInZZIoEZdKcP3xISonLy0uePXvGpKp5+ODRzgAbrZrUpshsNiOlxMXFBbP5nJcvX3J5eUlOiYnzTJxnatWwawB2yuzkhDbD1y9fsm635GLcXdPgRAXQqiKANtAWs8Y3Uj83H8Hox961yM5D9dbSLja0yxWSVeMnZkhFljlnSrWv7268jnn5Y/y294BjvGsgBt3zeyzbx8c5HCv9JNyVaxkf6xA6Ui/Y7J1f/9d/f+yY970HfTs2yd17fxyPh4z3PTx3owlIxiv0l1LC1wpTppIzY8I+lDYuIDPuP+OaAbCjzsYY91hYhw6Gqt/uJty+nkMbAlV5Pr3yZMx5x9Gnlze+3335M+3RgyA4ctbiuwAp9svQfvCCpIhYrYtpjBpfUzS+jREkMaLNyeD5DZXpDwZTL4zF+PVYy6VaVAaXgGxoI7jZKZfXV3z56prTs0e8X7X8/k9/ireWD37wEbHrWN7csl5v6TYbxGhHDNVkV2EoQQoJ03hwTiWanSdbR9W1mM0aEzydZE2UQi2eryaklNhsVkOuQdM0Q8c8OT0BEdYpsi2Y+/lsxstXr7h884bNYoER4eHpGZPJBIAf//jHbLdb/p/f/W1IiQenZ5xMp0wb5YTXdY2pK9quA2uHFcZ8Pme92fDs2TOctVjrmFc1zlp8TGxJ1HXN7PQUrOHF189ZlALp1iqP2CPMixpmLh3/bZ16HKw8nMRzzojZDdLaeTarFcvlEhqh2wayMURriCKaQq9qakdx4fu0Y4Ye28NDZshW7eUO9rvWkWDsqEv2uzv0wA8dlCEgGHZG/9DA9+enhnwHRfSfeX8/Tf77Ui6PrRDue2+TEaBg61KKiBRCQzaiPOdkyHGHzTvn8JVqB8XJhM45YtDSnMiOHfO2cxbRwjU6dyhUO1AnjRYeUraSBl776+kny8PrHDz64iSO8fvM8QnsG+/Lkft8n/a9MPRC0TBJuWiZ5OH/A8yigqTqzaMKjILirCbvB1qPtWMewbc9yyFgk8B5z1qgaiZsNi/ZXi3xjyp+7Uc/4tOf/5yXr15xfqb1W002bKwldEq97AtMC2gQWQTrKqJzhTlQUvq3gRQ6lVntDVDxAL1XaIgib9B7Zz31TERUKqDrwOkguLy5ZrVc6nbWUpfgLcCDBw9YL5a8LjTHDDuaowiTugZjCMU7aXMid5H5fM5yueTq6mq4r4PWenkgxnt8U2O8Y73dstpsBjqaL/hm5T11Xes9Semo0d2Lotzj+emEAW3bEtqW6B1d7shVM2D0e789cAh+lba/wnj7/g5XAPdtY++09+jHf4eGfuy5ppSwZp+JA2oIe9x+HG84bPdl4hy7zm9zfe/y6Pt9jqtB5eQ1KSprNTMRIZpMCoEUd7Dju86nx+3Hk6e1drg3XXc343k437cEicfXEFKiOrimJGDS/Qz+d115fi8MPTCoEqaUNDiVs6rVjVgMnQQEUwJbEWMtMamnbERwxTsUaooSNGSDFrc3I/zyeMLHsRkZVD+jTnpOnXdcpcDi0QXeWSZZ637G0xmvPv8FOWeePv2YnBKvXr2ivbpGqorpdMrFI1WAfP7yjWbdeUeeTCDAg01g2XjWDVSnlo8rQ/XLJWbdsQqGP/GRV5MaWUZOsuVpVfGHqzewuoVQ4RpHNnB6OsXVnja2bEJkGSMPn35ACJnVF1+oUdi0Wsi78kTv8LWjOZvxsz/6Q25ubojGM5ufUJ+caXyjqumMYdO1vL6+Vuy/qfnzv/kXuL294fmzZ2xWa9gGjIkYb/CnKqTWVZaT6TnVbMqr2wVXtzdcbzd0ApXzVEar9Dw+mfLAqlTxEl0GdykhKVEV+mtMiaVkkjWcZMvGCi9M4qmf8KH1PFkENostVw8mbLtIsxWyjfzl3/uMX6Pj62nHrYnUueO91hFtZmsMk2wQs79cf1u7r2G2/T566gbHB+nwmbp4e8foHRyAbLIG7YfAq7K5YlBJ3JSFri9NloUcreq+dHkQ9spWV8DWCamXHAkZK0pplhCw1lIbixPFyKzcxZyPGt13EnZ2ZIhj9+zY/mwq2lRJpQZM1iIfCdWFF2OxhZSR60ZhlZipJwlY4+oAxhZKs2Bdh80WIrrCkr5elDJnqpJtn+yOwj029n1wNRVImdTSBtXU6kJUzSVRIkEyliiOVqzWJc6K96eUMDEOsS3QydUU6Km/F4cxk/1b+Wcautm1d13k+LtDCtOxmfq7eGaHXt34GMYYguiy8ZNPPuHvf/01l23g0aNHPL+65enTp/zsZz/j5uaGD54+5b2nT/mqC4TNhuVyibcK3fzghz/k9tUlV5s1hAD1jHaxJaZa8eiUFEsOidwFcvbDBNjjkSkl3TZl6smESSkqYr0MnkeIiUePLghtx81iRS6dzHo/eP05Z6bTKcvlktVqhTGGZj5X7zpnbFnebzYbtqGjaRqwBjedsN1uh7+u65CcaZqJyk47p1RGK/hG8dJ1H6hl5zk557AIlX17VzTGILlfHo+eUdrpoeTixYWyUgg5EVLClPsZcyRGVSfMZidYddi3xv+/f7bn/dqvulI4do5jY6RjIpITxavPpMQg5awx6IQkQSvxybCyUS9/xEAZzvl+hp6D1cF4HH0XL/Rtnvf483E+wGEg1lqVoY3JlVXuLqaR+u1HXrcpTK+9Yt75bsZwn6QVbMT09YxNIYIcTP6Wu9794T16l8Nw7PP0Z9mjz1nLe8Wks28vRNR/BsJYNlhb/yD6Sj37dULfhgsedtTDztjvY2+pmzNYDQJvQiRYi9Q1s3pKs95gVi2nkylehMl8Rtd1LJZL1us1548vyDGquNfVtRpnc8mk0rqt22aCczVPTh7wqhFam5k6z6mryesNYd0OVaZIiWyElTeqR79tQQynD86ZTWrqSYMYSCnQTGc0rqKazvn8qxcsVhtYLqFtcdMp6/UaaWp+9KMfsd0s+eM//uNdofUuIGKgC+QM205zepumwU8miHdUsylfffWM1WLB7fUNRhJnTcP52RlWMt54soFJM8HWNberJc/fvNYJwVqmVY0xhnkzofZeoSE02NonPg3YcSk0EmNQDyzpKqp/ZiEnYuiYTRradkvMkU60hOBJ7AjthnXe0nWKTacc6HImuAhRkJw0/Zpv9tgPsfFvY8jua+i/aX/HDXz5f9Sx04WkBWZCAozCheV8UzIl2FQMnoYSaPps6gAU3LmPFxzLBxi3lON+otoRh+utMZe38PL753/o/KW0063xJfNdPXqtx2yAnCMx7AoQWenKtQUCu4l8fBznHKaujp5rH1yF/exZlTSJCFosqc/YNVYQs1PjHf8550Z1N8ze/g7vwZ1n/2cZo4d93u+h9zB0lG/KXiyZrnKwn/794f7H/4e3D25bSK+RTJsi0TuyrwghYo3D24gNgeubJR//8EcsFgs+++wzvLXc3C6ZTaZMpidUXpeYNze3rFcr3bGvSCZxdXODPbnAzyvmkym+TZg2EUMkm4zvV78p0pHoonrzWMvpqQYxY04YBIwjkzmZnXC9Uj69NYa43WqMIMZBu77rOq6Kfg1JB+u0apjVDfPCqokx4rxnMp+xigFXlpmrxUInDJNpnMJTtVet+f4eN1XFm82axWpFF6MGH9HB4ooR73XsE/vPqQ+oj1vPXY49QyQXZkRKyKTSAW6EkDUA1vSicTmSEgh2iDHEDC4rjv+u5/+uNhY0+9NsWXHHt2LVewZ48BQ1AKzbGnKOYPS+2KKiJSYpxHlQjHQYf4f/f8s5ZN5uqL7J0H9TO1wdjI2zGdUaSL0aZP96wCg6TIo7nIxMiZeNP+v/rAhRRAO8vdCibcmpyDWYvk/f9doPX4/i9/fsR991lfm9MPQpQ4glQp30fUq5vBZYSlRXOwTVnEllyem8hVhkaU3SWo2yH8w7NPjHPPrD5RqMvIqsCTBiLa3z2JNzts7zi08/Z+0qLt77kGa1wfvE7e0t267jwaNHzKdTttst19fXhM1aZ3tr+MGf+002X7/idr1mU87DVJ6XN9fk20DkKTPbwHJLt9rQScU0OeYhsyBAYwmAiWC959XlGwA2mzWu1szYRxdPWK7W3F7dEjZb4mKlZeHqmqqq+Pjjj7ECf/AHf4ARHRDeWU5OTriYniu0ww4SmZ2dElJiPpmTgc++/JLNakGKkfPTE+ZNw2kzwWXIQeWlJ9MpTixffvWM7XZLFrBGg8DzukGAqa+YTSYajDrwHkUEh1asSkBHxnWBQCbkPLCriIl110HsWFuVn92myLrrOL+5gW5DmzvaNgKeZCJrE0hGmEVddsdo9o0l30x1/LaQxDsx+m+5nzF8ue/Zq4FLWYiFjzowcUgq/V349sYYnLeIaIx/lxyU9zI4D438UQ+8eM5jFo87skq6733pjzHe5hhLRmTnYffesuRMCF79olxouiHtpCDK9lZkYBpVvlLWmuwgYWN2CWVAoVi2xNghMh3uuQkBYyzG22GMG1EGzzc9x8NnejgBHNnonft8W/teGHpQyqRCOJlEKQdWAi+AZvLFTBdbjFUtCUzxEAselzplnOTtdmAO9IEU4M5NHL+/myE3+q1kVtuOZD3Pu8SP/tz73Gbhg48/YYVwuViTVmu2mw2nsxMeP7xgu93y5uqK12+ueP/phzjnuLm5oW1bvnj+NY9wnM7nNPMTnK2YxExeX8N0ysVkxpPs2d4sVIxsteKsMpwTWXgLlbIATMx0245rcwsxYquG7XrDfH6GrRreXN6wXq/Z3NxA2zJ/rEVIPvroI1arFW9evdQlaQ40TcP7779P0zRUsYgxWcvJfI54x+16zfRkzqZc1+3VNXGzoWkaHpyc4MSw2Wyg03v9ySef4KqKn3/2Kde3twBUZVk7rxsmVUXYtsynU7x1LG5uqJpmT/jNWotDaHyFCYEENDkRyGxKERmXGaQV/vCzTzl9/wker3VrnWPxu79Lt14QGmG5DEzylI4t0XiSsUxjxiRhk2WIW7zLwH8betvhvu677fFgpw6QPrAaC4skp5GoVsqEpDBnTpmchS5mSvE0rbAkGQmCsU71mEKHs0JVe1LMpBRIKWCL4Y6yr3w5wCSja9Tz27Fgeu+5DzR+kwrjuyCyd31mjBlWoQCpp4jmPDgqY0MP2qe0HKDGJHqopSoKh0aywqTlvLzfTVbZGWKoyClgTGAWa9q2LdIJWmzHe4tYLQ8qsi94N+bXd103CJuVi3vnPRru1Z9lQ5+zdsT+NUbtpDnvxMZ6FUoRGRKdci7YWbCFUbBLUdZtdtoT/f/HXv4hjn/4Xf+9lV2Gpmlq/GzKSgxtCnRJNVSmvqIKjsViwWq1Yjab8ejBA05mMz79/HNijJyfn1PXNbGp4HpF27ZcX1/jXU3GcPGDD1g2lnaxpEuuXIte9zQkzpLwpY5ADZSKIfSsDu/IAq6a0ExnrDZbYiiZt20HxmqWa9PgnFNGUEmYss4ym812Bdl9jckZ5z1RYLVa0aWI2W5Zb7dKVwyB0/lE6ZkpEHImtVpxajKZkJ1ltd2w3GyHgVg5j7dWy7d1QcsDFm9MrFW8M+17yjJ6lnZ4HrJbCbEz9LbyWq5P9JlUYrCbDSYmlNmakKh1QLXerNAnryWT9ib5t7Vvy2Me96NfxdCTlR0SR6yb8eveNmXspELayYkSoBVUHzoTQypMmYRkQ/J6/YiOq514/l1Df9Sjz/uU0mOxr3fdo3vdg/+vvbOLtSS77vpv7V116pxzP7unZ8bz5Ywj22AjwAmRcRQegsWHiRC8gJKAgIdIfuEhCCQUCymAxAsvGCEiwJKBgBAGEhCRBQqWkwjxQEKMHceOx3gSz3hmeqZ7uu/te/uej6raey8e1q46dU/f7umZ8bh77j1LOqpz6tSpU6tq77XX53+dQWfFK846/7oL527W27BwrPtd917zAlIUtkg2RZHThHOiQB8P0L715fp1Dq+Vwdi4IIJeadqYtYV4Ki+4e+A+49lI9oWF1uOcVZmKtLiYzavy9GQdnmc4EDsTc2WmuVMDYviQvQeKimUI7D/zPnaeeIpXcnVsmyJjcUyqEbL9HuvwtJhz47XrBoFQFHzog78f5xxXr15ltlxw3C54amtK5TxEpQmJg8Nb6A2B7TE7410m88jJrEbLgpCUSywQ73nlyi63VNH5ksqV1KXHVQWFL4kJHn/iabwvObh5SAqBJlfNjicTdvb22NnZ4fj4mKMbN0BgPJ2yNa24cuUKzhlGx9FyadAETqjbFnXCe599lsVyyUsvvcRiseDS7i6PbFsKZT2bo6pMJhN29/fZ2dvj5smM1w9uchwipfeUvmB3OqUQR5FsImxvGXzxfD5HvTs1uVW7akGbMGWuTi5DQ6tK66X3bRbiLKC7swPOCpT2qwl+UbO4eo22njFDCN6T6oYgI+ZlQxJHnYRpUurEHZbcm8V0OYu+a4JeEqhb9UBNajGPZM0wUkpWbxGdWcNZiw/JtP8QIyEGIDe81uxiKRQVxReOGJq+XWfWJ6yz2hnuzvXtukbfaaq9O+Vt+unv9tuYtNeSuxTIoTDs5nNXiAdYiiScAhLrrtW7dMrl0ikR/VioKrwIc79ESZTeU+Q5IlLgC5fNG6ul766ts3AApG3zPXMXS6Mno9golhMcslbfaSsiYvC0zlLDHMlgSjt/IErKufEahZGsGhasLxhwtqAfBniGBSMiVqwUYyTEyP7+HtE7Fstg/svkSLGliImgge1cSTouR8znc27dPub3nn+eqqq48thj7KU96vkt6tePWNQNy7KimmwxunSJ29MxsbC+qNSNda5HaZNSIUyXLVvOcaLR8oyzt9GXpQE3FSWjasJyUYM4i3FEZby1xbQac3kAb4D3FIW3NoBjgxxoaxuAJ8HAmZKAinBp/zJ10zBbLGhT7DXx0DSrohJXsL29zXR7G/WOm8dH3J4vDZQso10W4hCsJeSkqphMJrTRKnddUeD1Tu1U1YrnnHe0mhdgVaucVCBa45lOwLRtC85RVRXLpCxnJyCBEARVa02oEq23ZzCtXhnkM69N/Lc9sgcC7u0Lej0l6ONA0NuiJyR8Rk6lx6bvrABVKzpEyS0fMXdNtmbAslScVzTHxqzF5tnYOaf2i/Y8Ditu1+f6pA2SAAAXiUlEQVTX/WrvZx13L0E/zApicF2reZzu+P/1oKld7woLyb7rw9FZFpnvvujSOIuIz03C+/OJIKlzscW+UMtlQd8BD8rw/t2nAPf3WVi1Tg+FoFdWD6tHfRuUK/fmU28OupXLhpX/nQw3q9HfkXq2bnoOB2v3H32EfaCV2HkTxzhqX/LBp9/LzfmSWVJCLpsnJgsmpmjgYikyKgrG+/tsb28jhWc2m/Hit7+NiFDvT3n00iVGCNcWNbNlzfL4NtWj70XGBaNWkLph2UbqEIGGHR9wbYM8vgOl9TttVKFrRabK/s4+R7dvM58taZctKbZUoxFPPnqZUelZ1jWHh4fUdY0rir7Ee7FY0DQNhbMF7VDpcbO3dnbw0wnfefUqzXJJIcJkOrU2iYWVhVfTKVVVsb+/Tyo8124ecO3gFq0mdFRyZTy2SQFIUqbTCfu7e/iy4NXXX6eJge3JuMulXSsPz5g1RUEJVpBCIjpBgz3LkTi0dPjguXnrkJ1yhKfk5PWb+JNjip0Ri9iQUoE2CfWGQRK9ENTuXXDlKdfecGy8HfpuavTrBVMqYm4a6bJyOtel8RRVrVhQHZqTGxQFUWJSUhJSsp7AiRYRc904r1mThTrdKei7e3RqbomeOXf6dEN394y5+xX0Z1EYuK40B51XNQArxa0sVwttyEHZTnMfKnkid7pu+spb1cH5SspsGURVgy7vkp4wOVYAUZu+gUmSnIefXUAyVCwugqBPCrPWTM22hRi7LIju4SgQKAu7Ub4Apw6XFOcK6jYOGikkFtL0XZ5U1TT+lCxNEsszV1Xa0PTX0D3s9RxXEaH0ynWpeLFecrmYckscKS7YTTWBxFEBR9Hh2pbCewrnOJnPqdsli3qJryrG5YgPvP/9hBC4frjk1dkBbVywV5Y8tjvlO4WnXkQ8Jd+3vUOcv8zRYsE+QpgmRjrnvSee/31tzOiZZ1iElvnEwbSgSSXEyO7+JV789rctIOUCnsTu/j7bly8xm824+uoLaEwIgSKBqLA8OWY0GjHa2yUC0Tn2RhNOTk748Ac/yHQ85vlv/A6j4xMmokx8QSVCNSrY8lPLid/dY7yzzQLlxZdfsgyb1FB5z954xMG4ZCyOoolUSanKEWlnyvWT2xxoYKsasZ2gFstLNj1KVkVNXkhiLga8Begvt8KsEKrC+Nn3JbuTki8fLCialulyQhhPKWg4cRMEZdQkmnHglWrG2EUmseQ2JY0rSK42jVTdyjpsAi4KBVBk62kpq+Yi6wvDqQB+OlsjXV9E7tZ8e/2crQQT2AKKQ8UDGRTPGZhdaCNtUlKKdu+80sZEK5HkEq1aDn1KiZhawOC325SI82QNfhz43CfWC4Piq9jHSVS1x49KKZHaQCjSKhc9z52iKHDt6X1n0VktPdH7SyMMMVfVq1o9hFpVdZmfo4tQqqMt0uqZlFY3r1k7x0FwCSRSFda1SDQiAt4r3lsWmQMaSWhqrao8BrzYM2pCsOpXjSge59Ry+rVEQ0sUpSwcqibw2xhOuYTWYx/DsXLqXr1FReShEPSoQgom6VOwSHp2x7hTjRTECmb0tEZhTp/OV6h9U4CUEkljX36c8tjRlNuOZYEPpyEQupW72xdUia5gOrVOSuumormYBkUUqitUQu84ms04OTnpU5XH5Q77O7u0qSTOZhwfHzPefoRlVRnee4zMj49JIRBECQGCAz8MFpoNmVsRCuOMOdO3P4uGLtm1FFwul6Ss8aQQiJj2NR6PqarKkDZD21//5cuX0Rg5vHmz7+cqTuz4smRUFhTFyLrkjEqc97TLBScnJ71PsixLEKGta1Rhqo6tUcV4PO6D1p2p7y2/747BezfNrteSWU2SwmWMIFYY5Z1FhtqxxcAlJy4rB9k9YXDIVnBk48RK8FOyLDCHCYT1AON68N5+e3fXw1CQF2d2g+WO/wg+o1GKt9Gem2F0bbc6rXp4fnulO/bZ3LDq1wg4a5FurToVOmTBlG9dJ+iBvnNWYuAWDZEmhd5l082doRvnlIW8Rv25hwLsPgV9UndK0AsZWlgHSRXOgZ52H60vOsPvRAZ4TUPXDty5b3i+XCnbySJkhT9Fjn85l8fmGYH/davpLAswnTGG7oceCkGvqtZvVQ3fpuu32YFi9TfTnIsoiRganPp+rNPlzidDuAuhNfdO2/Z9KoXU/0eMkaD5f9ZMzvWAUlE5boeWZ37wD9DEQBstEIaa5iTJrrUb1CkLeu89XhO7Wfgu24amabh1dIvGBxATxqUreHHWgC+QqqTC8eqrr5JObuNVqUNk4h0hFacFfTWGqmLLT9je3ubG9euMioLlfMGVy5dRVXa3tnnuuedoFgvwq/Sm6dYW4/GY3d1dvPcsoy16Pgc193Z2uXHjBrcODvAoly5dYlQ4dseTnDkDOCuS8uMxJ4s5L7/2qkEceMd4PMY7z3y5ZDQqkRDZ2tnj0u4e4h2vXX+NeWhztynPIoYzhbwgGeuEvktV4RwpOdSZcG5TpIjCaFywNapoYy4KqkakwhMlQy6UDlc6pHDW8k0c0qFYajR/fa9ACBpbUh1sPLbBsl7kTiE8vN5ue5agH473buvehKAXEXxRId7hXIX4PLIlIOR876worTp2JBNAas8+5V4Enmh59WrumsJr77rpNHoYxMnythOPKSVC7iUQQiAR+sW9mzudJt9thwBk67zeKbjuT9Ab0ntO2BBByD0NSH2vYHHWQ0Kdg+x20Ywx38E+FOJyw5vcSITUW/h9bcDgM6zkQ1RbAEPS3C5yVQsSo8WxiqwcOuegrlfxv45bt1IU7+W2Ggrsd52gB+giSAY0tAqqCKxeYsVQToAk2d8oK00ma/BJlRiCBRhDg0YrlhA6jdYWgTCIAUihpgEmG9Tde4DgHU3IXZhCIIlflYbrQCANVttuNa6bGh2YsjFGtsYTUpjRasgLkTKdbnFcOAqFsJhzfON1xqGmVYhtpE3+FFStgPU/LSr2tnf6ZsTL5RJdLjk5OWF/d5fZbEZT13afQguq+AxpPJlMrKIWJTZWgzCeTrm0f4l5hvbtNJmqqigN/apHnUxFiR9XBE0czWbMFwsiBkDVti1BAk5hMh7jRtaqcDKZcDKfs8jH+snEArvRnuu6VsPaWBYRfA+H0eG3GPlkkzyEYKmwzuFHBvbmilUmlRXDK0ksA8XJKvCm+ZxKMh83WfEYoEF2r6HZPRTyRncXVEOhlu4h6Nf/IzkBiRbrcBFRT3fV3d9aJ61c7atqLohs9TpSL/BFzFqJ2DOKKM4Z2JfmNMtO0Pf3PmmPpR5CoG2aPtioEnvBN0xzXt93Fib/uivC+L5TNJ2l4WqulncAzratCIV1DMF5g72AgXtWHMlzCutmXVMfavR9Wqaczso79X2n6A3hi1VJrPLnJQ6snPxcO446l8zZY2lwD95gIbgbvaGgF5Ex8D+BKh//C6r6d0XkfcDngMvA/wX+iqo2IlIB/wb4I8BN4MdV9YV7/okqRBNCkhKSovkA8ywXMuhQys1IRIhBzGcLfdmxxkiI1gg7ZEGfgrkdoqzM1tAsT2VZOOdwo1EPGCbe9+8BDutIcelxHnn8Mb7T1MTJFk0TcZ2FoK63PLz3fbszVQMMu71YmODrgLlSw3g0ohSHawMxJELTUJZTKhRmt5ldewVZzGlUqQnUvkRk1McZvPdUOzts7+4S28jR0RFVWdIcHEJRUGTerl69ymg0sgnZNBRlyaXdPXZ3dxkVhS2KKeKKgkcu7VNWFfOTEw4ODqgXC9N0fJd37KwnLZiWvrfPsm154aXvMF8sWDYNy3rZV0R67xlPp+yVFVuTCTs7O9QhcO3gJnVdU07G7OQUy6CRssuOyuPYaQaGwlwuQaxjlYotxgEIQMwTzsfE2HkaDYaOOR5Rbo+tIrf0ZtF4UwySmGVoVp0hQXbgX000d18bW7StDVwuu7XImUl5bqzPlX4rZ8A5ricAAKdck6vpoHf8h0x8FpaKK0a0ybJjvDNclUSLRiCWeQ5lRSnl+BVQiN1UdZBCQ4yBEBsE8NlPowMtX9UsBj8QgkSbW21d22IdLQEhatv3/O009+790Ed/NyF1R+ziPgU94rPWjrnunBpAnjeVkcKQbbWwhcojqLPsLxXpgcd6DTutrPzuWsuyxBe2iKy7mYbH2txOves4qpp7OHmic4RoPGn+TacsWsyjuC/XzbCu5M0I/PvR6Gvg46p6IiIl8L9E5L8DfxP4tKp+TkT+OfBTwD/L20NVfb+I/ATwD4Efv/dfKKk1VMNuQKoO06EUTTatu5XSZYeMRsM2MZjjXHXW9XNMiRQDqsFQDdtAUsu3Hfrh8ZYepc7hypKUrOJWu4E5GbG9v890dxcdldyul2jhiTGAWo43yREHFYNDXyjkzKGcVVI4xzIFknTtBUvA48WRlgu+9ZUvkW4dkNqWiNAuG2TbzMnt7W0OCsd4MoLxmKIacevaVdOqvGHZ7+7v23/M5qbNNw2oMtmZMBlV2Q1jA6ttWxDYu7TPZGeHw+Mjbl67YRg2SfHjkr29XSbjMVXpOTq5jYbIE+95jOvHtzg8POTG4YFpezGyu2W4O11sYDqd8thkh+n2FvOm5vqNG7x++5jH3vMeS7MsR6gq87ZhS7q4Q270khf4boJOihIvSyQmBEeriaUaEqVHGDvH2HnqsuRoMefK7h6hEHzhLEDnFCFQFiVCRFVokwHVppT67BWNNsbszIlESwwW4C9zNtiw2rqj4XsnqyYeQ6HdjYvuuyg2PoYxn2FBT+cKia2C96gKISWKkcUBgk8GiSxm94YQVv5tBe8UdQZwhsZVInNszE+c/fGhiUQJ+X+zsM21Cp0OLrpCVm2WS+azmSkwIWBgpZbW2gn5kPuyDiuOhxrrMJ61Xuh4vzEO8dldhFAWQlWUJN8yLU1xUw32/2FVpyF2Mkv3ze6dPqU6W90ku64ubdJnl01nYQ0Lr4irazc+bEGoWytU7As2m6aHllgVvllw1t9nY8G3isv0hoJejYOT/LHMLwU+DvylvP/ngb+HCfo/n98D/ALwT0VE9B4OJVHFr2HE2yrn+rQj83dFQ8nDtC8vVvygSUl5BUxqZnaXdZOS9Ua1wFrot5alUw5M3RUGfvdAu4BKDIGyKMyfq9kvjAFioXomoNOQj/UXklg32rUTbqrUs2Niu0RwuGxCkwIqjlBb8+HJZMJMLd+9K8MmWc78ZDJhefukd3/lajO2xlbJWg7SxYqiQArPaDTiZDHn5OSEuq6JMTKtxoxzS7bZbMZxbGkWCyaTCSEljk5mzHKPWhFhVBSMioKyKKgyEmZVlmxVFU7hZD5n3tRIuRp2hfaP+K7UTUaF3u/aKcKJlflbZg3NIUQHQWDic6cDSZCLr3ohrg4hB9BSXAV2NceCYjRFIcQ+gO+zq6Iz0YfC69TEE7lDMHXHnvLDyjCo30WBV4uBdzYHkkSDagZUvTWY9y1oQfQDS0I9BrqercwcP5KsqUuyoKXBGQdijlMlDYhAbmme7wm9ddXfl16BMRjokDrXhPaKw3AudI3dzxL0kKEI/OnG3XlCnDkOhpq/quIKb8W+zvpPFE5wYsJVnAK5P27WuLv50Lll/Zqw7M9PN18HC8v6PF6j9WtTVTS0vS++uwdB06naBoB4v170dG/Xzt3ovs4u1gPtS8D7gZ8Dfhe4paqdCvsy8FR+/xTwEoCqBhE5Ah4Bbtz9HxSXTuNnaHbj5PPYAGtqVCOhu8livsLOdWPVge2pHHryBI3RmgaklCC22SpwZsrm4qMkAi53a8qrPMBJanhye4vReEzTRgJYGpumXOSTuIur9dQk7it+RQlqgT1TXIQkHhGl9I5rr7zIdrPAV1MD9cLiCo3CraMD3JNPsLu/z7UQaOdLCucN8riuuXL5MqX3HNW1zdGUDHqgLHn0kUcsVpA1qC5ANt7ZpphM+NY3n2O+WOBru99l1sQODw/xqjTNkqeeeIKnnnySo6NbvPjKy32QtFTY2t5ib2qumE6zG0+n7E63OFrMee3G6xw3NZPdHRt8CmUW9B165fr0FswC6lxRpTiCc7igBMn3MB9biWn0pU/USWm9o5qMoF4gySpoPYqkgAYTKklzJkgeyglFYxZsTUNoa7SJxKa2Z1fnTJzccaib7p053k2+bhlfF+7rbpkOROsOjTYf73IMiJGg3lNEBe8ISXG+AmkRXyIYpLC4Ub4gsRubWJXJxpCxwFs0BntlvjVnpVksYLBw9SnJuWArj+E2rao+Q7RFSLP7tB3Mnc6NM1z0OjfJyk1zGrrEnvvZGu66iwcPYTym9B6pRhYsj5HCgUhBIfRVu10go3Q5I274LNYW286qEVzm2VmiSH/M6Sy77h7ZsavMvKZZpXB34zSEQMhFbh2+vNP7E/T3arH5Br+7/8itiOwD/wX4WeBfqer78/5ngP+mqn9QRL4O/GlVfTl/97vAR1X15tq5Pgl8Mn/8fZg//x6LwbmlK1xMvmHD+0Xk/aLyDe8M79+nqo++0UFvKutGVW+JyK8BHwP2RaTIWv3TwNV82MvAM8DLIlIAe8DBGef6DPCZ7rOI/Kaq/tCbuZ7zQBeVb9jwfhF5v6h8w4Pl/Q2TVUXk0azJIyIT4E8A3wB+FfgL+bC/BvzX/P6X8mfy979yL//8hja0oQ1t6J2l+9HonwB+PvvpHfAfVfXzIvI7wOdE5B8AXwY+m4//LPBvReR5TJP/iXfguje0oQ1taEP3SfeTdfNV4AfO2P97wEfP2L8E/uJbuJbPvPEh55IuKt+w4f0i0kXlGx4g728qGLuhDW1oQxt699Fb6zS7oQ1taEMbetfQAxf0IvIJEfmmiDwvIj/zoK/nu00i8i9F5LqIfG2w77KIfEFEvpW3l/J+EZF/ku/FV0XkBx/clb89EpFnRORXReQbIvJ1EfnpvP8i8D4Wkd8Qkd/KvP/9vP99IvLrmff/ICKjvL/Kn5/P3z/7IK//7ZKIeBH5soh8Pn++KHy/ICK/LSJfEZHfzPseivH+QAV9DvD+HPBngA8DPykiH36Q1/QO0L8GPrG272eAL6rqB4Av5s9g9+ED+fVJrNL43UoB+Fuq+iEsHfev52d7EXjvYEP+MPAR4BMi8jEMDuTTmfdDDC4EBrAhwKfzce9m+mksM6+ji8I3wB9X1Y8M0igfjvF+Von+9+oF/DDwy4PPnwI+9SCv6R3i81nga4PP3wSeyO+fAL6Z3/8L4CfPOu7d/sLSb//kReMdmGKgf38UK5Yp8v5+7AO/DPxwfl/k4+RBX/tb5PdpTKB9HPg8Vtx87vnOPLwAXFnb91CM9wftuunhEjINoRTOMz2uqq8C5O1jef+5vB/ZJP8B4Ne5ILxn98VXgOvAF3gTsCFABxvybqR/DPxtVhX/j3Ax+AZDwvgfIvKlXPkPD8l4f9B49GeBNlzkNKBzdz9EZBv4ReBvqOrxPXA6zhXvqhqBjwxgQz501mF5ey54F5E/C1xX1S+JyI92u8849FzxPaAfUdWrIvIY8AURee4ex35PeX/QGn0Hl9DREErhPNM1EXkCIG+v5/3n6n6IwVr/IvDvVPU/590XgveOVPUW8GsMYEPyV2fBhnAv2JB3Af0I8OdE5AWsV8XHMQ3/vPMNgKpezdvr2OL+UR6S8f6gBf3/AT6Qo/IjrIr2lx7wNX0vaAgTsQ4f8VdzRP5jwFFn9r3bSEx1/yzwDVX9R4OvLgLvFxI2RFU/papPq+qz2Fz+FVX9y5xzvgFEZEtEdrr3wJ8CvsbDMt4fggDGjwH/D/Nh/p0HfT3vAH//HngVaLFV/KcwP+QXgW/l7eV8rLCCgf5t4Ice9PW/Db7/GGaKfhX4Sn792AXh/Q9hsCBfxSb7z+b93w/8BvA88J+AKu8f58/P5++//0Hz8F24Bz8KfP6i8J15/K38+nonyx6W8b6pjN3Qhja0oXNOD9p1s6ENbWhDG3qHaSPoN7ShDW3onNNG0G9oQxva0DmnjaDf0IY2tKFzThtBv6ENbWhD55w2gn5DG9rQhs45bQT9hja0oQ2dc9oI+g1taEMbOuf0/wGtBFf2yilwwgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You look like a ...Dachshund\n"
     ]
    }
   ],
   "source": [
    "face_dog_prediction('testphoto/test11.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**注意: 当你写完了所有的代码，并且回答了所有的问题。你就可以把你的 iPython Notebook 导出成 HTML 文件。你可以在菜单栏，这样导出File -> Download as -> HTML (.html)把这个 HTML 和这个 iPython notebook 一起做为你的作业提交。**"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
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